Overview

Dataset statistics

Number of variables88
Number of observations8555
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.8 MiB
Average record size in memory712.0 B

Variable types

NUM85
CAT3

Reproduction

Analysis started2021-01-10 03:18:55.379874
Analysis finished2021-01-10 03:18:56.289790
Duration0.91 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

team
Categorical

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
atlanta_hawks
 
575
boston_celtics
 
555
chicago_bulls
 
515
cleveland_cavaliers
 
490
dallas_mavericks
 
470
Other values (30)
5950 
ValueCountFrequency (%) 
atlanta_hawks5756.7%
 
boston_celtics5556.5%
 
chicago_bulls5156.0%
 
cleveland_cavaliers4905.7%
 
dallas_mavericks4705.5%
 
denver_nuggets4505.3%
 
detroit_pistons4305.0%
 
golden_state_warriors4104.8%
 
houston_rockets3904.6%
 
indiana_pacers3704.3%
 
Other values (25)390045.6%
 
2021-01-09T22:18:56.395845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

opponent
Categorical

Distinct35
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
washington_wizards
 
575
utah_jazz
 
553
toronto_raptors
 
533
san_antonio_spurs
 
504
sacramento_kings
 
484
Other values (30)
5906 
ValueCountFrequency (%) 
washington_wizards5756.7%
 
utah_jazz5536.5%
 
toronto_raptors5336.2%
 
san_antonio_spurs5045.9%
 
sacramento_kings4845.7%
 
portland_trail_blazers4645.4%
 
phoenix_suns4445.2%
 
philadelphia_76ers4245.0%
 
orlando_magic4044.7%
 
new_york_knicks3734.4%
 
Other values (25)379744.4%
 
2021-01-09T22:18:56.523955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

defenseear
Real number (ℝ≥0)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.627119
Minimum2000
Maximum2019
Zeros0
Zeros (%)0.0%
Memory size66.8 KiB
2021-01-09T22:18:56.624794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12005
median2010
Q32015
95-th percentile2019
Maximum2019
Range19
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.728345981
Coefficient of variation (CV)0.00285045217
Kurtosis-1.187687427
Mean2009.627119
Median Absolute Deviation (MAD)5
Skewness-0.02448726952
Sum17192360
Variance32.81394768
MonotocityIncreasing
2021-01-09T22:18:56.710802image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%) 
20154355.1%
 
20144355.1%
 
20064355.1%
 
20134355.1%
 
20054355.1%
 
20124355.1%
 
20084355.1%
 
20194355.1%
 
20114355.1%
 
20074355.1%
 
Other values (10)420549.2%
 
ValueCountFrequency (%) 
20004064.7%
 
20014064.7%
 
20024064.7%
 
20034064.7%
 
20044064.7%
 
ValueCountFrequency (%) 
20194355.1%
 
20184355.1%
 
20174355.1%
 
20164355.1%
 
20154355.1%
 

team_win
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size66.8 KiB
2
2908 
0
2871 
1
2776 
ValueCountFrequency (%) 
2290834.0%
 
0287133.6%
 
1277632.4%
 
2021-01-09T22:18:56.814619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

offense_fg_offense
Real number (ℝ≥0)

Distinct455
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4778428916
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:18:56.922600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2556472395
Q10.3820571701
median0.4719551759
Q30.5648011704
95-th percentile0.7243313779
Maximum1
Range1
Interquartile range (IQR)0.1827440003

Descriptive statistics

Standard deviation0.1419108377
Coefficient of variation (CV)0.2969822094
Kurtosis0.6188982484
Mean0.4778428916
Median Absolute Deviation (MAD)0.09147657761
Skewness0.3126348148
Sum4087.945938
Variance0.02013868585
MonotocityNot monotonic
2021-01-09T22:18:57.038341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5224851148600.7%
 
0.5015746183570.7%
 
0.3427485429560.7%
 
0.4407299419540.6%
 
0.4422749637540.6%
 
0.4205309028540.6%
 
0.4374798387530.6%
 
0.5730362946510.6%
 
0.5829891532500.6%
 
0.2556472395490.6%
 
Other values (445)801793.7%
 
ValueCountFrequency (%) 
0250.3%
 
0.144927657870.1%
 
0.1492925409120.1%
 
0.1654863278140.2%
 
0.1764845342250.3%
 
ValueCountFrequency (%) 
170.1%
 
0.941117735370.1%
 
0.9393755181240.3%
 
0.90804986770.1%
 
0.8949103399200.2%
 

offense_fga_offense
Real number (ℝ≥0)

Distinct483
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.460281568
Minimum0
Maximum1
Zeros14
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:18:57.153139image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1875946754
Q10.3520378733
median0.444138555
Q30.5686767629
95-th percentile0.734771229
Maximum1
Range1
Interquartile range (IQR)0.2166388897

Descriptive statistics

Standard deviation0.168379052
Coefficient of variation (CV)0.365817499
Kurtosis0.06555998789
Mean0.460281568
Median Absolute Deviation (MAD)0.1127731532
Skewness0.1945340386
Sum3937.708814
Variance0.02835150516
MonotocityNot monotonic
2021-01-09T22:18:57.268413image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.444138555810.9%
 
0.3621289139780.9%
 
0.3737238793660.8%
 
0.3243156401600.7%
 
0.3831063512570.7%
 
0.3162473645540.6%
 
0.625192749510.6%
 
0.6193755276500.6%
 
0.3520378733480.6%
 
0.4511049316470.5%
 
Other values (473)796393.1%
 
ValueCountFrequency (%) 
0140.2%
 
0.0039433540151< 0.1%
 
0.02974093517140.2%
 
0.06778236601150.2%
 
0.07611653390.1%
 
ValueCountFrequency (%) 
1240.3%
 
0.9832928977210.2%
 
0.962185151570.1%
 
0.9338363305130.2%
 
0.9026282008210.2%
 

offense_fg%_offense
Real number (ℝ≥0)

Distinct444
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4234439133
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:18:57.383769image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1630393268
Q10.3043940261
median0.4169125513
Q30.5338657333
95-th percentile0.6947601044
Maximum1
Range1
Interquartile range (IQR)0.2294717072

Descriptive statistics

Standard deviation0.1637705658
Coefficient of variation (CV)0.386758578
Kurtosis0.03684967822
Mean0.4234439133
Median Absolute Deviation (MAD)0.1150479652
Skewness0.2730942851
Sum3622.562678
Variance0.02682079822
MonotocityNot monotonic
2021-01-09T22:18:57.495322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3018645862841.0%
 
0.3265525911780.9%
 
0.2666995157720.8%
 
0.1630393268680.8%
 
0.4286796467620.7%
 
0.4434833382610.7%
 
0.4167579199600.7%
 
0.5697455831590.7%
 
0.4998196584570.7%
 
0.5634070375550.6%
 
Other values (434)789992.3%
 
ValueCountFrequency (%) 
070.1%
 
0.02928255039250.3%
 
0.04039193808160.2%
 
0.06127041724270.3%
 
0.06798839262200.2%
 
ValueCountFrequency (%) 
160.1%
 
0.942520345370.1%
 
0.9206252564140.2%
 
0.9118045055200.2%
 
0.8996575038200.2%
 

offense_3p_offense
Real number (ℝ≥0)

Distinct435
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4102515686
Minimum0
Maximum1
Zeros15
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:18:57.608578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1260823024
Q10.2821258753
median0.3959981148
Q30.527175489
95-th percentile0.7356142328
Maximum1
Range1
Interquartile range (IQR)0.2450496137

Descriptive statistics

Standard deviation0.1835484407
Coefficient of variation (CV)0.4474046042
Kurtosis0.0285636629
Mean0.4102515686
Median Absolute Deviation (MAD)0.1259347546
Skewness0.4020192204
Sum3509.702169
Variance0.03369003007
MonotocityNot monotonic
2021-01-09T22:18:57.721696image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6347832195700.8%
 
0.3783648642680.8%
 
0.4071621145670.8%
 
0.3017383406600.7%
 
0.2079021257590.7%
 
0.3360424696560.7%
 
0.4037334923560.7%
 
0.5763430468560.7%
 
0.3992301759550.6%
 
0.2196735393540.6%
 
Other values (425)795493.0%
 
ValueCountFrequency (%) 
0150.2%
 
0.0369823847590.1%
 
0.0478499063380.1%
 
0.0488507313380.1%
 
0.05132897055240.3%
 
ValueCountFrequency (%) 
1190.2%
 
0.9892778165190.2%
 
0.95591335153< 0.1%
 
0.953572373370.1%
 
0.9503187252190.2%
 

offense_3pa_offense
Real number (ℝ≥0)

Distinct528
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4313432291
Minimum0
Maximum1
Zeros15
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:18:57.837842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1713883391
Q10.3080259766
median0.4167564485
Q30.5366573861
95-th percentile0.7137712209
Maximum1
Range1
Interquartile range (IQR)0.2286314095

Descriptive statistics

Standard deviation0.1724185867
Coefficient of variation (CV)0.3997248018
Kurtosis0.234752091
Mean0.4313432291
Median Absolute Deviation (MAD)0.113574029
Skewness0.398900743
Sum3690.141325
Variance0.02972816905
MonotocityNot monotonic
2021-01-09T22:18:58.082152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.507163098680.8%
 
0.4124010878570.7%
 
0.3535639169550.6%
 
0.5071408378490.6%
 
0.4281544044490.6%
 
0.2867827874460.5%
 
0.4136346886440.5%
 
0.4167564485430.5%
 
0.4159850425410.5%
 
0.4585455089400.5%
 
Other values (518)806394.2%
 
ValueCountFrequency (%) 
0150.2%
 
0.06597887968240.3%
 
0.07425770281130.2%
 
0.075092763980.1%
 
0.08377901085160.2%
 
ValueCountFrequency (%) 
1190.2%
 
0.9862025497190.2%
 
0.9658954448190.2%
 
0.9468445756270.3%
 
0.91014968053< 0.1%
 

offense_3p%_offense
Real number (ℝ≥0)

Distinct462
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4358493811
Minimum0
Maximum1
Zeros23
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:18:58.196397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1988076247
Q10.3431322132
median0.4237757368
Q30.5301241501
95-th percentile0.6812857467
Maximum1
Range1
Interquartile range (IQR)0.186991937

Descriptive statistics

Standard deviation0.1494307746
Coefficient of variation (CV)0.3428495738
Kurtosis0.5109844159
Mean0.4358493811
Median Absolute Deviation (MAD)0.09408296551
Skewness0.1707094923
Sum3728.691455
Variance0.02232955639
MonotocityNot monotonic
2021-01-09T22:18:58.313337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3956297053851.0%
 
0.4175968866660.8%
 
0.2998758852630.7%
 
0.4757992687600.7%
 
0.4467635593560.7%
 
0.3698965225530.6%
 
0.5114677664520.6%
 
0.3872126919520.6%
 
0.4329614459520.6%
 
0.4032538381510.6%
 
Other values (452)796593.1%
 
ValueCountFrequency (%) 
0230.3%
 
0.0167488906970.1%
 
0.01811971372120.1%
 
0.0537085459370.1%
 
0.0537167636200.2%
 
ValueCountFrequency (%) 
1200.2%
 
0.924264927950.1%
 
0.918538428760.1%
 
0.859499692770.1%
 
0.8587634905200.2%
 

offense_2p_offense
Real number (ℝ≥0)

Distinct465
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5085751017
Minimum0
Maximum1
Zeros19
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:18:58.428115image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2183371487
Q10.3968749951
median0.5156126455
Q30.6285177728
95-th percentile0.7722691823
Maximum1
Range1
Interquartile range (IQR)0.2316427777

Descriptive statistics

Standard deviation0.1702168498
Coefficient of variation (CV)0.3346936357
Kurtosis0.363494301
Mean0.5085751017
Median Absolute Deviation (MAD)0.1159753854
Skewness-0.2187376494
Sum4350.859995
Variance0.02897377596
MonotocityNot monotonic
2021-01-09T22:18:58.543674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.63676524871051.2%
 
0.6779794091700.8%
 
0.4774461441690.8%
 
0.5164802738680.8%
 
0.6109596099620.7%
 
0.5283573802540.6%
 
0.3764717064530.6%
 
0.4482827473500.6%
 
0.487776057500.6%
 
0.5084920234480.6%
 
Other values (455)792692.6%
 
ValueCountFrequency (%) 
0190.2%
 
0.004984552174270.3%
 
0.0134162496480.1%
 
0.0453726416780.1%
 
0.04572791192200.2%
 
ValueCountFrequency (%) 
1220.3%
 
0.9824133698160.2%
 
0.9393412246130.2%
 
0.92375940021< 0.1%
 
0.9201049464240.3%
 

offense_2pa_offense
Real number (ℝ≥0)

Distinct518
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5501234809
Minimum0
Maximum1
Zeros19
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:18:58.657943image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2659500229
Q10.4511334904
median0.5510850273
Q30.6598412731
95-th percentile0.8004430502
Maximum1
Range1
Interquartile range (IQR)0.2087077826

Descriptive statistics

Standard deviation0.1609200666
Coefficient of variation (CV)0.2925162662
Kurtosis0.1825118906
Mean0.5501234809
Median Absolute Deviation (MAD)0.1044772687
Skewness-0.3829960278
Sum4706.306379
Variance0.02589526783
MonotocityNot monotonic
2021-01-09T22:18:58.774514image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.534067805530.6%
 
0.5138017492510.6%
 
0.5770277833500.6%
 
0.7029220761500.6%
 
0.6257062926480.6%
 
0.2094845382480.6%
 
0.7411478984470.5%
 
0.5167715272440.5%
 
0.5705248784430.5%
 
0.3178098117430.5%
 
Other values (508)807894.4%
 
ValueCountFrequency (%) 
0190.2%
 
0.02363782712190.2%
 
0.0524001373280.1%
 
0.05750287991270.3%
 
0.0889332433180.1%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.9361113587200.2%
 
0.898382334250.3%
 
0.8945709411160.2%
 
0.87330343051< 0.1%
 

offense_2p%_offense
Real number (ℝ≥0)

Distinct467
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4056714195
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:18:58.891990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1355306752
Q10.2832981253
median0.3903461787
Q30.5242300766
95-th percentile0.7126808854
Maximum1
Range1
Interquartile range (IQR)0.2409319513

Descriptive statistics

Standard deviation0.1767275141
Coefficient of variation (CV)0.4356420139
Kurtosis-0.08719893573
Mean0.4056714195
Median Absolute Deviation (MAD)0.1186252371
Skewness0.3460833247
Sum3470.518993
Variance0.03123261426
MonotocityNot monotonic
2021-01-09T22:18:59.006459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4082193663790.9%
 
0.4278000186750.9%
 
0.3416397878720.8%
 
0.3543122468600.7%
 
0.2120774099560.7%
 
0.3410286983550.6%
 
0.4641467863530.6%
 
0.2720713482520.6%
 
0.5259692498510.6%
 
0.2780538556510.6%
 
Other values (457)795192.9%
 
ValueCountFrequency (%) 
0250.3%
 
0.03616145095230.3%
 
0.03771980524120.1%
 
0.04372147858270.3%
 
0.05106249071200.2%
 
ValueCountFrequency (%) 
160.1%
 
0.9584807628140.2%
 
0.926822238870.1%
 
0.911434115200.2%
 
0.8958503527150.2%
 

offense_ft_offense
Real number (ℝ≥0)

Distinct455
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4557783615
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:18:59.136414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2072406039
Q10.3432206466
median0.4415640034
Q30.5488222439
95-th percentile0.7507813323
Maximum1
Range1
Interquartile range (IQR)0.2056015973

Descriptive statistics

Standard deviation0.1667998416
Coefficient of variation (CV)0.3659670044
Kurtosis0.3286100811
Mean0.4557783615
Median Absolute Deviation (MAD)0.1028715678
Skewness0.4442670506
Sum3899.183882
Variance0.02782218716
MonotocityNot monotonic
2021-01-09T22:18:59.251819image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3793814608690.8%
 
0.3597179515660.8%
 
0.4143243338570.7%
 
0.6670279101550.6%
 
0.5458207754540.6%
 
0.3773540711520.6%
 
0.6319094308520.6%
 
0.2920745871520.6%
 
0.4538417604510.6%
 
0.4187069602510.6%
 
Other values (445)799693.5%
 
ValueCountFrequency (%) 
070.1%
 
0.011489797210.2%
 
0.021021688294< 0.1%
 
0.0565669143970.1%
 
0.060756288173< 0.1%
 
ValueCountFrequency (%) 
190.1%
 
0.99033117784< 0.1%
 
0.9711995185210.2%
 
0.9697346281230.3%
 
0.9651375514170.2%
 

offense_fta_offense
Real number (ℝ≥0)

Distinct479
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5277545772
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:18:59.368060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.286667183
Q10.4141170828
median0.5250930344
Q30.6218262225
95-th percentile0.8160517992
Maximum1
Range1
Interquartile range (IQR)0.2077091397

Descriptive statistics

Standard deviation0.1574083235
Coefficient of variation (CV)0.298260461
Kurtosis0.1996311713
Mean0.5277545772
Median Absolute Deviation (MAD)0.1055239137
Skewness0.3511384419
Sum4514.940408
Variance0.02477738031
MonotocityNot monotonic
2021-01-09T22:18:59.483223image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5503987228600.7%
 
0.5197548511600.7%
 
0.5737850408590.7%
 
0.563051567570.7%
 
0.5302455063530.6%
 
0.3828834836530.6%
 
0.5302332305520.6%
 
0.6813590947520.6%
 
0.3455005815500.6%
 
0.6516214764490.6%
 
Other values (469)801093.6%
 
ValueCountFrequency (%) 
070.1%
 
0.1170765416230.3%
 
0.16838917924< 0.1%
 
0.172748454980.1%
 
0.18419882373< 0.1%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.9848699789230.3%
 
0.9764588535190.2%
 
0.9733694509190.2%
 
0.9471908537230.3%
 

offense_ft%_offense
Real number (ℝ≥0)

Distinct504
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5354315262
Minimum0
Maximum1
Zeros8
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:18:59.597000image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2161529297
Q10.4286744803
median0.5432218321
Q30.6597560676
95-th percentile0.8123936528
Maximum1
Range1
Interquartile range (IQR)0.2310815873

Descriptive statistics

Standard deviation0.1769875176
Coefficient of variation (CV)0.3305511702
Kurtosis-0.00248841471
Mean0.5354315262
Median Absolute Deviation (MAD)0.1151370138
Skewness-0.2841278047
Sum4580.616707
Variance0.03132458137
MonotocityNot monotonic
2021-01-09T22:18:59.712064image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5439018175670.8%
 
0.6455868696570.7%
 
0.60574397550.6%
 
0.4286744803530.6%
 
0.5223600402520.6%
 
0.4358179629520.6%
 
0.5157540532470.5%
 
0.3649072607470.5%
 
0.456148986470.5%
 
0.6449639195460.5%
 
Other values (494)803293.9%
 
ValueCountFrequency (%) 
080.1%
 
0.01774708656210.2%
 
0.0252739536150.2%
 
0.0419124747870.1%
 
0.0641722842680.1%
 
ValueCountFrequency (%) 
1240.3%
 
0.9713771172240.3%
 
0.968828794590.1%
 
0.938697620190.1%
 
0.9311882764230.3%
 

offense_orb_offense
Real number (ℝ≥0)

Distinct433
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4686451604
Minimum0
Maximum1
Zeros28
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:18:59.825942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2179001505
Q10.3516889061
median0.4682290459
Q30.5884915178
95-th percentile0.7324868417
Maximum1
Range1
Interquartile range (IQR)0.2368026117

Descriptive statistics

Standard deviation0.1645964531
Coefficient of variation (CV)0.3512176526
Kurtosis0.05655495115
Mean0.4686451604
Median Absolute Deviation (MAD)0.1202624719
Skewness0.1070468883
Sum4009.259348
Variance0.02709199239
MonotocityNot monotonic
2021-01-09T22:18:59.940917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4808570019881.0%
 
0.4417428606680.8%
 
0.2956948344650.8%
 
0.5359442016630.7%
 
0.6043492664630.7%
 
0.3924993155570.7%
 
0.3924169241530.6%
 
0.4272563906520.6%
 
0.5065314027520.6%
 
0.6883934638480.6%
 
Other values (423)794692.9%
 
ValueCountFrequency (%) 
0280.3%
 
0.04913286826280.3%
 
0.09313703827140.2%
 
0.097064176763< 0.1%
 
0.1148198184280.3%
 
ValueCountFrequency (%) 
1200.2%
 
0.9857680464210.2%
 
0.9712717085200.2%
 
0.948039342290.1%
 
0.9077604169200.2%
 

offense_drb_offense
Real number (ℝ≥0)

Distinct441
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4644478049
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:00.211058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1711750597
Q10.3407591459
median0.4579249329
Q30.595816534
95-th percentile0.7255447494
Maximum1
Range1
Interquartile range (IQR)0.2550573881

Descriptive statistics

Standard deviation0.1704492157
Coefficient of variation (CV)0.3669932635
Kurtosis-0.4075330704
Mean0.4644478049
Median Absolute Deviation (MAD)0.1217454266
Skewness-0.05251739011
Sum3973.350971
Variance0.02905293512
MonotocityNot monotonic
2021-01-09T22:19:00.327638image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5660612456961.1%
 
0.5285365745911.1%
 
0.6253248946720.8%
 
0.2912069067710.8%
 
0.3399015375680.8%
 
0.5112140202610.7%
 
0.3800286431600.7%
 
0.4041517442570.7%
 
0.2698405706560.7%
 
0.5619054605550.6%
 
Other values (431)786892.0%
 
ValueCountFrequency (%) 
0220.3%
 
0.0509493376230.3%
 
0.0647742559250.3%
 
0.0673716471750.1%
 
0.06840953846150.2%
 
ValueCountFrequency (%) 
1130.2%
 
0.944871045650.1%
 
0.884033926250.1%
 
0.8614959316170.2%
 
0.853504900880.1%
 

offense_trb_offense
Real number (ℝ≥0)

Distinct454
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5114547379
Minimum0
Maximum1
Zeros23
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:00.443232image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2156804683
Q10.3884530741
median0.5130001131
Q30.6228839156
95-th percentile0.7975172195
Maximum1
Range1
Interquartile range (IQR)0.2344308415

Descriptive statistics

Standard deviation0.1780941471
Coefficient of variation (CV)0.3482109635
Kurtosis-0.2108458245
Mean0.5114547379
Median Absolute Deviation (MAD)0.1239357697
Skewness-0.05929546877
Sum4375.495283
Variance0.03171752522
MonotocityNot monotonic
2021-01-09T22:19:00.557649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5429225271730.9%
 
0.6063033047640.7%
 
0.6619462142600.7%
 
0.5012581388530.6%
 
0.5002523602530.6%
 
0.6026129528500.6%
 
0.6180838182500.6%
 
0.611000561490.6%
 
0.7975172195480.6%
 
0.7642843272470.5%
 
Other values (444)800893.6%
 
ValueCountFrequency (%) 
0230.3%
 
0.0124960889150.2%
 
0.04035298485140.2%
 
0.0818153536260.1%
 
0.09092441719140.2%
 
ValueCountFrequency (%) 
190.1%
 
0.9706749826200.2%
 
0.9607055061210.2%
 
0.9395030888260.3%
 
0.9200048554160.2%
 

offense_ast_offense
Real number (ℝ≥0)

Distinct460
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4230134845
Minimum0
Maximum1
Zeros16
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:00.673366image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1882255334
Q10.31932151
median0.4138523766
Q30.5167855714
95-th percentile0.6910009247
Maximum1
Range1
Interquartile range (IQR)0.1974640614

Descriptive statistics

Standard deviation0.1555869687
Coefficient of variation (CV)0.3678061679
Kurtosis0.5011470014
Mean0.4230134845
Median Absolute Deviation (MAD)0.096003411
Skewness0.3898417415
Sum3618.88036
Variance0.02420730482
MonotocityNot monotonic
2021-01-09T22:19:00.790551image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.44461162720.8%
 
0.3403385473590.7%
 
0.4590108683560.7%
 
0.2963474872520.6%
 
0.4415284067520.6%
 
0.3356804897510.6%
 
0.3497839972500.6%
 
0.3727681875490.6%
 
0.5053272164490.6%
 
0.4741494742490.6%
 
Other values (450)801693.7%
 
ValueCountFrequency (%) 
0160.2%
 
0.0004006273947190.2%
 
0.06113674211170.2%
 
0.06525445235100.1%
 
0.086383866853< 0.1%
 
ValueCountFrequency (%) 
1200.2%
 
0.9461560561< 0.1%
 
0.9321962549200.2%
 
0.925564869170.1%
 
0.9141352118200.2%
 

offense_stl_offense
Real number (ℝ≥0)

Distinct391
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4063867722
Minimum0
Maximum1
Zeros5
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:00.908414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1624545207
Q10.2894502699
median0.4012339804
Q30.5014369946
95-th percentile0.6937574785
Maximum1
Range1
Interquartile range (IQR)0.2119867247

Descriptive statistics

Standard deviation0.1599171671
Coefficient of variation (CV)0.3935097745
Kurtosis0.2752651015
Mean0.4063867722
Median Absolute Deviation (MAD)0.1111250154
Skewness0.4066766766
Sum3476.638836
Variance0.02557350032
MonotocityNot monotonic
2021-01-09T22:19:01.025277image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.524518154881.0%
 
0.4180840848800.9%
 
0.4109439487730.9%
 
0.3784341843720.8%
 
0.2871530474690.8%
 
0.3744760653690.8%
 
0.3542549212680.8%
 
0.574634937670.8%
 
0.3899009987660.8%
 
0.3830608071630.7%
 
Other values (381)784091.6%
 
ValueCountFrequency (%) 
050.1%
 
0.04614369001270.3%
 
0.05274157619120.1%
 
0.05814380836100.1%
 
0.05886278913130.2%
 
ValueCountFrequency (%) 
1270.3%
 
0.8914701656210.2%
 
0.878522338880.1%
 
0.8650446195200.2%
 
0.8317245974160.2%
 

offense_blk_offense
Real number (ℝ≥0)

Distinct372
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4838693505
Minimum0
Maximum1
Zeros24
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:01.142084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.277418316
Q10.3785895149
median0.489044348
Q30.5778781957
95-th percentile0.695090509
Maximum1
Range1
Interquartile range (IQR)0.1992886808

Descriptive statistics

Standard deviation0.1360692744
Coefficient of variation (CV)0.2812107737
Kurtosis0.2739343111
Mean0.4838693505
Median Absolute Deviation (MAD)0.0969110186
Skewness0.10185518
Sum4139.502293
Variance0.01851484744
MonotocityNot monotonic
2021-01-09T22:19:01.260014image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4930449862881.0%
 
0.5487712589821.0%
 
0.3300324855821.0%
 
0.5102059514800.9%
 
0.4237225192800.9%
 
0.4293112541760.9%
 
0.612279491700.8%
 
0.4725446505620.7%
 
0.489044348620.7%
 
0.4807934595610.7%
 
Other values (362)781291.3%
 
ValueCountFrequency (%) 
0240.3%
 
0.05989491235100.1%
 
0.104085083100.1%
 
0.1648518721140.2%
 
0.2046957104100.1%
 
ValueCountFrequency (%) 
190.1%
 
0.9441333078200.2%
 
0.8823617261200.2%
 
0.864124941190.1%
 
0.8280396745230.3%
 

offense_tov_offense
Real number (ℝ≥0)

Distinct405
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5471957919
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:01.376574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.291435565
Q10.440677831
median0.5391404899
Q30.6521201107
95-th percentile0.8073151054
Maximum1
Range1
Interquartile range (IQR)0.2114422797

Descriptive statistics

Standard deviation0.1563256539
Coefficient of variation (CV)0.2856850441
Kurtosis0.2088401542
Mean0.5471957919
Median Absolute Deviation (MAD)0.1013725883
Skewness0.04079943769
Sum4681.26
Variance0.02443771007
MonotocityNot monotonic
2021-01-09T22:19:01.494183image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4507855018981.1%
 
0.5572275512660.8%
 
0.6226453685650.8%
 
0.5041876052630.7%
 
0.5312829128630.7%
 
0.4383514841620.7%
 
0.6521201107590.7%
 
0.3602386388580.7%
 
0.4383904887560.7%
 
0.5371558545550.6%
 
Other values (395)791092.5%
 
ValueCountFrequency (%) 
070.1%
 
0.04968125384100.1%
 
0.1282917414220.3%
 
0.13122376220.3%
 
0.155995381260.3%
 
ValueCountFrequency (%) 
1100.1%
 
0.9920709595290.3%
 
0.9727373878130.2%
 
0.9589288752250.3%
 
0.947041303970.1%
 

offense_pf_offense
Real number (ℝ≥0)

Distinct452
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4563674138
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:01.611372image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1867893439
Q10.3408887391
median0.4545719021
Q30.5794338238
95-th percentile0.7032733861
Maximum1
Range1
Interquartile range (IQR)0.2385450847

Descriptive statistics

Standard deviation0.1681619616
Coefficient of variation (CV)0.3684793359
Kurtosis-0.3885123574
Mean0.4563674138
Median Absolute Deviation (MAD)0.1171023678
Skewness0.08181604823
Sum3904.223225
Variance0.02827844532
MonotocityNot monotonic
2021-01-09T22:19:01.726594image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.351203889810.9%
 
0.5531964682620.7%
 
0.5800403072620.7%
 
0.6758296641570.7%
 
0.2121616546560.7%
 
0.5206431534530.6%
 
0.6534339705520.6%
 
0.8316102502510.6%
 
0.459866614500.6%
 
0.5582745069500.6%
 
Other values (442)798193.3%
 
ValueCountFrequency (%) 
0220.3%
 
0.04511418094190.2%
 
0.0529789590170.1%
 
0.08195535053< 0.1%
 
0.0839128868350.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
0.989995929760.1%
 
0.92899770631< 0.1%
 
0.9194752675230.3%
 
0.8816195837150.2%
 

offense_pts_offense
Real number (ℝ≥0)

Distinct531
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4934390277
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:01.842249image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2584093562
Q10.385075895
median0.4892491729
Q30.5799775921
95-th percentile0.7811815052
Maximum1
Range1
Interquartile range (IQR)0.1949016971

Descriptive statistics

Standard deviation0.1544960008
Coefficient of variation (CV)0.3131004888
Kurtosis0.2377598468
Mean0.4934390277
Median Absolute Deviation (MAD)0.09910130211
Skewness0.3003864002
Sum4221.370882
Variance0.02386901426
MonotocityNot monotonic
2021-01-09T22:19:01.958955image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.435327194520.6%
 
0.3780245951510.6%
 
0.4977239958500.6%
 
0.3660518037470.5%
 
0.4789839835470.5%
 
0.5052460097470.5%
 
0.5458012359460.5%
 
0.461421505440.5%
 
0.4081393891430.5%
 
0.4302564016410.5%
 
Other values (521)808794.5%
 
ValueCountFrequency (%) 
0250.3%
 
0.1083850924230.3%
 
0.1390909072270.3%
 
0.1584869529150.2%
 
0.183389950860.1%
 
ValueCountFrequency (%) 
1200.2%
 
0.96635635370.1%
 
0.9386322670.1%
 
0.934387421670.1%
 
0.926542405240.3%
 

defense_fg_offense
Real number (ℝ≥0)

Distinct465
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4618919066
Minimum0
Maximum1
Zeros15
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:02.075406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1679828451
Q10.3294962304
median0.4705738168
Q30.5840839213
95-th percentile0.7528181859
Maximum1
Range1
Interquartile range (IQR)0.2545876908

Descriptive statistics

Standard deviation0.1755756807
Coefficient of variation (CV)0.3801228777
Kurtosis-0.4405908106
Mean0.4618919066
Median Absolute Deviation (MAD)0.1278448875
Skewness-0.01851366168
Sum3951.485261
Variance0.03082681967
MonotocityNot monotonic
2021-01-09T22:19:02.196691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4709088589821.0%
 
0.5247221976740.9%
 
0.4752457069620.7%
 
0.5984187043530.6%
 
0.5495635655520.6%
 
0.5460273194520.6%
 
0.5126275339510.6%
 
0.6566307024510.6%
 
0.5618976402510.6%
 
0.4935434305500.6%
 
Other values (455)797793.2%
 
ValueCountFrequency (%) 
0150.2%
 
0.0124594041110.1%
 
0.03842905591150.2%
 
0.03922888704150.2%
 
0.04724157761280.3%
 
ValueCountFrequency (%) 
1120.1%
 
0.9327082146160.2%
 
0.8790289003210.2%
 
0.878128519170.1%
 
0.86133091374< 0.1%
 

defense_fga_offense
Real number (ℝ≥0)

Distinct508
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4798866798
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:02.314495image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2331022367
Q10.376287712
median0.4845235955
Q30.5799398997
95-th percentile0.7221041574
Maximum1
Range1
Interquartile range (IQR)0.2036521877

Descriptive statistics

Standard deviation0.1518282146
Coefficient of variation (CV)0.3163834734
Kurtosis0.005156942845
Mean0.4798866798
Median Absolute Deviation (MAD)0.1023896356
Skewness0.03952398188
Sum4105.430546
Variance0.02305180675
MonotocityNot monotonic
2021-01-09T22:19:02.433954image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.33447949721041.2%
 
0.433883378770.9%
 
0.5034333112760.9%
 
0.4721896716740.9%
 
0.5015885348530.6%
 
0.4825642461520.6%
 
0.5139043372510.6%
 
0.3821339599510.6%
 
0.5358220379490.6%
 
0.8094596652460.5%
 
Other values (498)792292.6%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.07221435777150.2%
 
0.08459928795150.2%
 
0.09452197498220.3%
 
0.09820755166150.2%
 
ValueCountFrequency (%) 
170.1%
 
0.968384808870.1%
 
0.8763780694210.2%
 
0.869088043870.1%
 
0.8602377683300.4%
 

defense_fg%_offense
Real number (ℝ≥0)

Distinct442
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4654938387
Minimum0
Maximum1
Zeros28
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:02.551030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1790956309
Q10.3461952403
median0.4643536974
Q30.5890553344
95-th percentile0.741123736
Maximum1
Range1
Interquartile range (IQR)0.2428600941

Descriptive statistics

Standard deviation0.1691383584
Coefficient of variation (CV)0.363352518
Kurtosis-0.3647004216
Mean0.4654938387
Median Absolute Deviation (MAD)0.1205416662
Skewness-0.02000929337
Sum3982.29979
Variance0.0286077843
MonotocityNot monotonic
2021-01-09T22:19:02.881745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5708596569871.0%
 
0.6611121472700.8%
 
0.4872782049640.7%
 
0.4076278817640.7%
 
0.4665498036590.7%
 
0.4308045555560.7%
 
0.7218183853560.7%
 
0.4193379853560.7%
 
0.3920075092560.7%
 
0.6371206064550.6%
 
Other values (432)793292.7%
 
ValueCountFrequency (%) 
0280.3%
 
0.03668852172180.2%
 
0.0631603821570.1%
 
0.09667573087180.2%
 
0.1013180476200.2%
 
ValueCountFrequency (%) 
1120.1%
 
0.9234764194240.3%
 
0.8730711518160.2%
 
0.85435407032< 0.1%
 
0.8287999985160.2%
 

defense_3p_offense
Real number (ℝ≥0)

Distinct352
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4783114216
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:02.999377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2130881714
Q10.3655551979
median0.4916658021
Q30.588086856
95-th percentile0.7220912259
Maximum1
Range1
Interquartile range (IQR)0.2225316581

Descriptive statistics

Standard deviation0.1562071061
Coefficient of variation (CV)0.3265803388
Kurtosis-0.01665308693
Mean0.4783114216
Median Absolute Deviation (MAD)0.1100800401
Skewness-0.07365054259
Sum4091.954212
Variance0.02440066
MonotocityNot monotonic
2021-01-09T22:19:03.116599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.54616889571001.2%
 
0.4700212272951.1%
 
0.5270216801770.9%
 
0.4458621421750.9%
 
0.2508815282710.8%
 
0.6066734759690.8%
 
0.3627551816680.8%
 
0.4494265967660.8%
 
0.629076782650.8%
 
0.4506952023650.8%
 
Other values (342)780491.2%
 
ValueCountFrequency (%) 
04< 0.1%
 
0.02449969049220.3%
 
0.043328567224< 0.1%
 
0.07937468312< 0.1%
 
0.08281902111260.3%
 
ValueCountFrequency (%) 
1140.2%
 
0.9745254248230.3%
 
0.845053504280.1%
 
0.8398787572250.3%
 
0.8375366367250.3%
 

defense_3pa_offense
Real number (ℝ≥0)

Distinct453
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5404486886
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:03.234154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2571180989
Q10.4348655016
median0.5520397704
Q30.6522537935
95-th percentile0.7977388787
Maximum1
Range1
Interquartile range (IQR)0.2173882919

Descriptive statistics

Standard deviation0.1643300057
Coefficient of variation (CV)0.3040621787
Kurtosis-0.01905495154
Mean0.5404486886
Median Absolute Deviation (MAD)0.1093092674
Skewness-0.1542724699
Sum4623.538531
Variance0.02700435078
MonotocityNot monotonic
2021-01-09T22:19:03.351116image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.575073514780.9%
 
0.5094963491610.7%
 
0.5908152978590.7%
 
0.5307123974570.7%
 
0.604569112540.6%
 
0.4620752574540.6%
 
0.6613490378530.6%
 
0.5777458986530.6%
 
0.6363885389520.6%
 
0.7861426309510.6%
 
Other values (443)798393.3%
 
ValueCountFrequency (%) 
04< 0.1%
 
0.034176815684< 0.1%
 
0.07204715511220.3%
 
0.07779161717260.3%
 
0.13333944472< 0.1%
 
ValueCountFrequency (%) 
1230.3%
 
0.9863084734270.3%
 
0.94551559914< 0.1%
 
0.926178086140.2%
 
0.9046517237270.3%
 

defense_3p%_offense
Real number (ℝ≥0)

Distinct444
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4788255328
Minimum0
Maximum1
Zeros28
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:03.467612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1923145865
Q10.3626811089
median0.4840916805
Q30.5940265949
95-th percentile0.7389380101
Maximum1
Range1
Interquartile range (IQR)0.231345486

Descriptive statistics

Standard deviation0.167309728
Coefficient of variation (CV)0.3494168889
Kurtosis-0.04226819532
Mean0.4788255328
Median Absolute Deviation (MAD)0.1129929012
Skewness-0.02163208793
Sum4096.352433
Variance0.02799254508
MonotocityNot monotonic
2021-01-09T22:19:03.583345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4875120044630.7%
 
0.5701719652610.7%
 
0.5331017093600.7%
 
0.5940265949600.7%
 
0.4048368153600.7%
 
0.4126000529540.6%
 
0.3911561731530.6%
 
0.4677137157520.6%
 
0.5963709806510.6%
 
0.3285074819510.6%
 
Other values (434)799093.4%
 
ValueCountFrequency (%) 
0280.3%
 
0.06724603771200.2%
 
0.07787693302220.3%
 
0.08524698586220.3%
 
0.08563111813280.3%
 
ValueCountFrequency (%) 
1250.3%
 
0.959778385770.1%
 
0.9204717943240.3%
 
0.8950098114100.1%
 
0.8830761308160.2%
 

defense_2p_offense
Real number (ℝ≥0)

Distinct464
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5197450398
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:03.699293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2339796274
Q10.3990820021
median0.5223240557
Q30.6288255175
95-th percentile0.8086811067
Maximum1
Range1
Interquartile range (IQR)0.2297435154

Descriptive statistics

Standard deviation0.1780122825
Coefficient of variation (CV)0.3424992426
Kurtosis-0.206931305
Mean0.5197450398
Median Absolute Deviation (MAD)0.1204201549
Skewness-0.02273639881
Sum4446.418816
Variance0.03168837272
MonotocityNot monotonic
2021-01-09T22:19:03.813704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4069393922951.1%
 
0.5114283741750.9%
 
0.333363372750.9%
 
0.6215009038660.8%
 
0.4442521051650.8%
 
0.6098412558640.7%
 
0.3187563199630.7%
 
0.6259599659560.7%
 
0.3469509072540.6%
 
0.3258137695530.6%
 
Other values (454)788992.2%
 
ValueCountFrequency (%) 
0110.1%
 
0.00789615338150.2%
 
0.02648761316150.2%
 
0.05470448856150.2%
 
0.09647799598280.3%
 
ValueCountFrequency (%) 
1270.3%
 
0.99507489670.1%
 
0.9457783292160.2%
 
0.941176105970.1%
 
0.9360060105210.2%
 

defense_2pa_offense
Real number (ℝ≥0)

Distinct512
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4804109645
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:03.928775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2328671409
Q10.3839393553
median0.4843056049
Q30.5661470059
95-th percentile0.7498800731
Maximum1
Range1
Interquartile range (IQR)0.1822076506

Descriptive statistics

Standard deviation0.1520970903
Coefficient of variation (CV)0.3165978747
Kurtosis0.2750615237
Mean0.4804109645
Median Absolute Deviation (MAD)0.09422190365
Skewness0.1019972992
Sum4109.915801
Variance0.02313352488
MonotocityNot monotonic
2021-01-09T22:19:04.047166image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3335593553620.7%
 
0.4159843172580.7%
 
0.4895814425570.7%
 
0.5271723675530.6%
 
0.4273264624520.6%
 
0.5016613807520.6%
 
0.3706555668490.6%
 
0.4684322045490.6%
 
0.5350709945480.6%
 
0.4786706043460.5%
 
Other values (502)802993.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.001996017045150.2%
 
0.0588100981150.2%
 
0.06269440392220.3%
 
0.074491258852< 0.1%
 
ValueCountFrequency (%) 
170.1%
 
0.978180230570.1%
 
0.92404099870.1%
 
0.9036726017270.3%
 
0.888106631550.1%
 

defense_2p%_offense
Real number (ℝ≥0)

Distinct463
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4630303994
Minimum0
Maximum1
Zeros18
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:04.164386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1663006698
Q10.3445321191
median0.4687649362
Q30.5846812087
95-th percentile0.7481062638
Maximum1
Range1
Interquartile range (IQR)0.2401490896

Descriptive statistics

Standard deviation0.1771447707
Coefficient of variation (CV)0.3825769774
Kurtosis-0.4064507292
Mean0.4630303994
Median Absolute Deviation (MAD)0.118934757
Skewness-0.008706528953
Sum3961.225067
Variance0.03138026977
MonotocityNot monotonic
2021-01-09T22:19:04.278637image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4012029921800.9%
 
0.3644671175630.7%
 
0.5252343985610.7%
 
0.4821535469600.7%
 
0.3624805696560.7%
 
0.3149979489550.6%
 
0.4954597468510.6%
 
0.2796615263490.6%
 
0.4653018286480.6%
 
0.5298916335480.6%
 
Other values (453)798493.3%
 
ValueCountFrequency (%) 
0180.2%
 
0.05087719211130.2%
 
0.05974395846180.2%
 
0.06085030896200.2%
 
0.06110384459200.2%
 
ValueCountFrequency (%) 
1120.1%
 
0.9156031437160.2%
 
0.8957805921240.3%
 
0.8753450649220.3%
 
0.86540643252< 0.1%
 

defense_ft_offense
Real number (ℝ≥0)

Distinct476
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4577874454
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:04.393748image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1554350153
Q10.3277173977
median0.4469785635
Q30.5819349887
95-th percentile0.7647354499
Maximum1
Range1
Interquartile range (IQR)0.254217591

Descriptive statistics

Standard deviation0.1807858526
Coefficient of variation (CV)0.3949122118
Kurtosis-0.2941649989
Mean0.4577874454
Median Absolute Deviation (MAD)0.128678329
Skewness0.1601795597
Sum3916.371596
Variance0.03268352451
MonotocityNot monotonic
2021-01-09T22:19:04.514901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.58546315740.9%
 
0.3880321469650.8%
 
0.2181897906640.7%
 
0.6316846758610.7%
 
0.3733576609550.6%
 
0.4111969884550.6%
 
0.3883877943530.6%
 
0.3460655392520.6%
 
0.2707267461510.6%
 
0.1528779032510.6%
 
Other values (466)797493.2%
 
ValueCountFrequency (%) 
0220.3%
 
0.05342731391170.2%
 
0.065495805854< 0.1%
 
0.07271710948270.3%
 
0.079482114973< 0.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
0.96902937751< 0.1%
 
0.958176004560.1%
 
0.9343491919150.2%
 
0.9282287761290.3%
 

defense_fta_offense
Real number (ℝ≥0)

Distinct482
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4818044928
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:04.634175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.184918782
Q10.3566820111
median0.485646746
Q30.6092692681
95-th percentile0.7895637139
Maximum1
Range1
Interquartile range (IQR)0.252587257

Descriptive statistics

Standard deviation0.1869389754
Coefficient of variation (CV)0.3879975762
Kurtosis-0.2896110454
Mean0.4818044928
Median Absolute Deviation (MAD)0.1265767795
Skewness0.1086106176
Sum4121.837436
Variance0.03494618052
MonotocityNot monotonic
2021-01-09T22:19:04.747671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.675834057650.8%
 
0.4553203013600.7%
 
0.3462441629570.7%
 
0.3916945641530.6%
 
0.6450837205520.6%
 
0.3603019039510.6%
 
0.3761228969490.6%
 
0.5706932552480.6%
 
0.6618910044480.6%
 
0.5852356284470.5%
 
Other values (472)802593.8%
 
ValueCountFrequency (%) 
0220.3%
 
0.0513251594860.1%
 
0.05191768072170.2%
 
0.07607454273300.4%
 
0.07848310991110.1%
 
ValueCountFrequency (%) 
11< 0.1%
 
0.999802457290.3%
 
0.99602291911< 0.1%
 
0.9683057788150.2%
 
0.9663698299100.1%
 

defense_ft%_offense
Real number (ℝ≥0)

Distinct422
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4918693312
Minimum0
Maximum1
Zeros13
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:04.863790image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2237825494
Q10.3722962589
median0.4806115528
Q30.6094601136
95-th percentile0.776127114
Maximum1
Range1
Interquartile range (IQR)0.2371638547

Descriptive statistics

Standard deviation0.1684056256
Coefficient of variation (CV)0.3423787883
Kurtosis-0.1000544101
Mean0.4918693312
Median Absolute Deviation (MAD)0.1152235807
Skewness0.08295393015
Sum4207.942128
Variance0.02836045475
MonotocityNot monotonic
2021-01-09T22:19:04.981556image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5036969443961.1%
 
0.3653879721650.8%
 
0.556058266600.7%
 
0.3566036654580.7%
 
0.4782087179570.7%
 
0.2370463735540.6%
 
0.5304667655530.6%
 
0.4151301659520.6%
 
0.3851285131510.6%
 
0.4621524458510.6%
 
Other values (412)795893.0%
 
ValueCountFrequency (%) 
0130.2%
 
0.0317673592470.1%
 
0.0352303855240.3%
 
0.03554495914250.3%
 
0.09388327607150.2%
 
ValueCountFrequency (%) 
1260.3%
 
0.9426729562< 0.1%
 
0.915052746850.1%
 
0.91028152134< 0.1%
 
0.8967043708190.2%
 

defense_orb_offense
Real number (ℝ≥0)

Distinct376
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4608919996
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:05.099501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1942500221
Q10.3478764213
median0.4573783885
Q30.5769312379
95-th percentile0.7442656191
Maximum1
Range1
Interquartile range (IQR)0.2290548166

Descriptive statistics

Standard deviation0.1693719683
Coefficient of variation (CV)0.3674873255
Kurtosis0.07330258245
Mean0.4608919996
Median Absolute Deviation (MAD)0.1162848782
Skewness0.196717497
Sum3942.931057
Variance0.02868686364
MonotocityNot monotonic
2021-01-09T22:19:05.213332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5026546212921.1%
 
0.3478764213770.9%
 
0.3673885691760.9%
 
0.4365555064680.8%
 
0.5536972624670.8%
 
0.5737925405660.8%
 
0.3870028965660.8%
 
0.3641885043660.8%
 
0.7025885319620.7%
 
0.6016067914570.7%
 
Other values (366)785891.9%
 
ValueCountFrequency (%) 
0250.3%
 
0.01160693241210.2%
 
0.1118891999120.1%
 
0.1182562535110.1%
 
0.118693324100.1%
 
ValueCountFrequency (%) 
1210.2%
 
0.975763861370.1%
 
0.9582075681230.3%
 
0.9325143996160.2%
 
0.926710945210.2%
 

defense_drb_offense
Real number (ℝ≥0)

Distinct448
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5403758164
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:05.331631image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2779019793
Q10.4307260915
median0.5334766972
Q30.6420970666
95-th percentile0.8205192335
Maximum1
Range1
Interquartile range (IQR)0.2113709751

Descriptive statistics

Standard deviation0.1612425694
Coefficient of variation (CV)0.2983896845
Kurtosis-0.1144618362
Mean0.5403758164
Median Absolute Deviation (MAD)0.1027506057
Skewness0.2066036273
Sum4622.915109
Variance0.02599916618
MonotocityNot monotonic
2021-01-09T22:19:05.447213image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5334766972740.9%
 
0.4916927501680.8%
 
0.599410044660.8%
 
0.4715108384550.6%
 
0.598012944530.6%
 
0.5066199204530.6%
 
0.496856162520.6%
 
0.3216890646520.6%
 
0.6071919648500.6%
 
0.4005347596500.6%
 
Other values (438)798293.3%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.047747472861< 0.1%
 
0.090864990812< 0.1%
 
0.0966611547590.1%
 
0.14316890591< 0.1%
 
ValueCountFrequency (%) 
1160.2%
 
0.9971587285270.3%
 
0.970750343110.1%
 
0.942023867100.1%
 
0.9380203833210.2%
 

defense_trb_offense
Real number (ℝ≥0)

Distinct476
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4911556852
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:05.562744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2604288978
Q10.3910620441
median0.4887712683
Q30.5663873004
95-th percentile0.7510816877
Maximum1
Range1
Interquartile range (IQR)0.1753252563

Descriptive statistics

Standard deviation0.1457994669
Coefficient of variation (CV)0.2968498
Kurtosis0.1306028079
Mean0.4911556852
Median Absolute Deviation (MAD)0.09033478148
Skewness0.3615100121
Sum4201.836887
Variance0.02125748456
MonotocityNot monotonic
2021-01-09T22:19:05.679666image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5272191399570.7%
 
0.4334728193570.7%
 
0.3126020344550.6%
 
0.5073469763530.6%
 
0.6968959966530.6%
 
0.4887712683530.6%
 
0.3117909029520.6%
 
0.4314901392510.6%
 
0.5762999024510.6%
 
0.5614279257510.6%
 
Other values (466)802293.8%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.072221393772< 0.1%
 
0.080109067911< 0.1%
 
0.12489260141< 0.1%
 
0.132514799550.1%
 
ValueCountFrequency (%) 
1160.2%
 
0.9179969225210.2%
 
0.9058328127210.2%
 
0.900145920970.1%
 
0.8846392917110.1%
 

defense_ast_offense
Real number (ℝ≥0)

Distinct457
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5579947149
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:05.796063image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2549479201
Q10.4364355946
median0.5537378583
Q30.6923795153
95-th percentile0.8602566491
Maximum1
Range1
Interquartile range (IQR)0.2559439207

Descriptive statistics

Standard deviation0.1775420286
Coefficient of variation (CV)0.318178692
Kurtosis-0.4839090541
Mean0.5579947149
Median Absolute Deviation (MAD)0.1260042715
Skewness-0.03917277072
Sum4773.644786
Variance0.03152117191
MonotocityNot monotonic
2021-01-09T22:19:06.220921image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4069619898760.9%
 
0.6393376182740.9%
 
0.352135284630.7%
 
0.4833233396620.7%
 
0.5175042299620.7%
 
0.4386896392550.6%
 
0.7163807239530.6%
 
0.5843180091530.6%
 
0.4440809605520.6%
 
0.5049544823520.6%
 
Other values (447)795393.0%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.021242142024< 0.1%
 
0.06823817516150.2%
 
0.086733385291< 0.1%
 
0.1222360024< 0.1%
 
ValueCountFrequency (%) 
1130.2%
 
0.965517695770.1%
 
0.9382648053230.3%
 
0.93452781160.2%
 
0.934076237130.2%
 

defense_stl_offense
Real number (ℝ≥0)

Distinct335
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4568184821
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:06.337473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2094789805
Q10.3491664846
median0.4417043409
Q30.5643436686
95-th percentile0.7253543226
Maximum1
Range1
Interquartile range (IQR)0.2151771839

Descriptive statistics

Standard deviation0.1580372887
Coefficient of variation (CV)0.3459520463
Kurtosis0.2076604168
Mean0.4568184821
Median Absolute Deviation (MAD)0.09838879913
Skewness0.2931909429
Sum3908.082114
Variance0.02497578461
MonotocityNot monotonic
2021-01-09T22:19:06.454367image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.40073308821191.4%
 
0.4993588343831.0%
 
0.4013902878821.0%
 
0.4669959204800.9%
 
0.3189105347790.9%
 
0.3456013498780.9%
 
0.4026916726740.9%
 
0.2918947878700.8%
 
0.7334105906690.8%
 
0.4363141372670.8%
 
Other values (325)775490.6%
 
ValueCountFrequency (%) 
070.1%
 
0.02566553748180.2%
 
0.04475173904100.1%
 
0.08346067769250.3%
 
0.10782632053< 0.1%
 
ValueCountFrequency (%) 
1130.2%
 
0.9566760964290.3%
 
0.952574203250.3%
 
0.8907508693160.2%
 
0.8635960614150.2%
 

defense_blk_offense
Real number (ℝ≥0)

Distinct358
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5524276566
Minimum0
Maximum1
Zeros15
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:06.571545image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2271732763
Q10.4125310696
median0.551706528
Q30.6959324385
95-th percentile0.8762397798
Maximum1
Range1
Interquartile range (IQR)0.2834013689

Descriptive statistics

Standard deviation0.194534944
Coefficient of variation (CV)0.3521455555
Kurtosis-0.4657604571
Mean0.5524276566
Median Absolute Deviation (MAD)0.1404227238
Skewness-0.1506537739
Sum4726.018602
Variance0.03784384444
MonotocityNot monotonic
2021-01-09T22:19:06.684832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6071932424851.0%
 
0.551706528831.0%
 
0.7272242434810.9%
 
0.8170546031750.9%
 
0.7953889317720.8%
 
0.5286323012710.8%
 
0.764061659680.8%
 
0.5209648167680.8%
 
0.535329014680.8%
 
0.6895455306670.8%
 
Other values (348)781791.4%
 
ValueCountFrequency (%) 
0150.2%
 
0.04711146614170.2%
 
0.05177020327170.2%
 
0.0748808729170.2%
 
0.08531599651150.2%
 
ValueCountFrequency (%) 
1200.2%
 
0.9901469211230.3%
 
0.982400119160.1%
 
0.978978782470.1%
 
0.9782794423220.3%
 

defense_tov_offense
Real number (ℝ≥0)

Distinct431
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4518222317
Minimum0
Maximum1
Zeros17
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:06.797193image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1893655855
Q10.3307735648
median0.4403141333
Q30.5798022684
95-th percentile0.734591019
Maximum1
Range1
Interquartile range (IQR)0.2490287037

Descriptive statistics

Standard deviation0.1724407576
Coefficient of variation (CV)0.3816562036
Kurtosis-0.06608396689
Mean0.4518222317
Median Absolute Deviation (MAD)0.1217530866
Skewness0.251897771
Sum3865.339192
Variance0.02973581489
MonotocityNot monotonic
2021-01-09T22:19:06.912062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3667967001941.1%
 
0.5140723431730.9%
 
0.4175954224720.8%
 
0.5992104038640.7%
 
0.4165032661620.7%
 
0.3597635478610.7%
 
0.4259634473600.7%
 
0.3833538449590.7%
 
0.6174626931580.7%
 
0.462414821570.7%
 
Other values (421)789592.3%
 
ValueCountFrequency (%) 
0170.2%
 
0.0533074922850.1%
 
0.05636461452280.3%
 
0.05887815143270.3%
 
0.07259708291190.2%
 
ValueCountFrequency (%) 
1270.3%
 
0.9979841298210.2%
 
0.9849335962210.2%
 
0.8627684587160.2%
 
0.8404891735210.2%
 

defense_pf_offense
Real number (ℝ≥0)

Distinct432
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4427186536
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:07.030476image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.169330486
Q10.3158917804
median0.433478494
Q30.5605120103
95-th percentile0.7646448946
Maximum1
Range1
Interquartile range (IQR)0.2446202299

Descriptive statistics

Standard deviation0.1757627462
Coefficient of variation (CV)0.3970077717
Kurtosis-0.1525747396
Mean0.4427186536
Median Absolute Deviation (MAD)0.1205868429
Skewness0.1752092001
Sum3787.458082
Variance0.03089254294
MonotocityNot monotonic
2021-01-09T22:19:07.144653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2993964193750.9%
 
0.2926749741740.9%
 
0.4636252047730.9%
 
0.4332700048660.8%
 
0.2992745735580.7%
 
0.5605120103550.6%
 
0.5246114751520.6%
 
0.4676571609510.6%
 
0.3379172934500.6%
 
0.3059120444500.6%
 
Other values (422)795192.9%
 
ValueCountFrequency (%) 
070.1%
 
0.003943988407130.2%
 
0.00986145810670.1%
 
0.02796671209210.2%
 
0.0364116616580.1%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.94149168281< 0.1%
 
0.9352158964210.2%
 
0.8968072663230.3%
 
0.8931342509190.2%
 

defense_pts_offense
Real number (ℝ≥0)

Distinct525
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4991879721
Minimum0
Maximum1
Zeros3
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:07.259399image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1763362391
Q10.3530712617
median0.5110405133
Q30.637544496
95-th percentile0.7913087984
Maximum1
Range1
Interquartile range (IQR)0.2844732342

Descriptive statistics

Standard deviation0.1870925878
Coefficient of variation (CV)0.3747938619
Kurtosis-0.5243114649
Mean0.4991879721
Median Absolute Deviation (MAD)0.1379809386
Skewness-0.08701701103
Sum4270.553101
Variance0.03500363643
MonotocityNot monotonic
2021-01-09T22:19:07.374810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2960681648530.6%
 
0.5219755734530.6%
 
0.5688994384510.6%
 
0.7058223851500.6%
 
0.4427206305480.6%
 
0.4293674433470.5%
 
0.6455667847470.5%
 
0.3547291511460.5%
 
0.7440790447440.5%
 
0.5022709926440.5%
 
Other values (515)807294.4%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.03338257843150.2%
 
0.06169531474110.1%
 
0.07282614259250.3%
 
0.078773280511< 0.1%
 
ValueCountFrequency (%) 
1210.2%
 
0.9423435713210.2%
 
0.9399183772200.2%
 
0.9254405085210.2%
 
0.9120716734120.1%
 

offense_fg_defense
Real number (ℝ≥0)

Distinct452
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4972341109
Minimum0
Maximum1
Zeros3
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:07.492021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2867360918
Q10.4033305212
median0.4959226802
Q30.5889317834
95-th percentile0.7385630898
Maximum1
Range1
Interquartile range (IQR)0.1856012621

Descriptive statistics

Standard deviation0.1393977866
Coefficient of variation (CV)0.2803463873
Kurtosis0.4197021962
Mean0.4972341109
Median Absolute Deviation (MAD)0.09300910321
Skewness0.3558005155
Sum4253.837819
Variance0.01943174292
MonotocityNot monotonic
2021-01-09T22:19:07.608713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4282043123760.9%
 
0.5328020389730.9%
 
0.4033305212650.8%
 
0.4045072929610.7%
 
0.4407299419580.7%
 
0.5705257634570.7%
 
0.3105298902550.6%
 
0.4906551338540.6%
 
0.5042968723530.6%
 
0.3737814155520.6%
 
Other values (442)795192.9%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.1449276578220.3%
 
0.1492925409170.2%
 
0.1654863278150.2%
 
0.17648453424< 0.1%
 
ValueCountFrequency (%) 
1220.3%
 
0.9411177353220.3%
 
0.93937551814< 0.1%
 
0.908049867220.3%
 
0.894910339990.1%
 

offense_fga_defense
Real number (ℝ≥0)

Distinct484
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4562981856
Minimum0
Maximum1
Zeros15
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:07.726646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1860850404
Q10.3482870289
median0.4492997889
Q30.5726302682
95-th percentile0.7295296217
Maximum1
Range1
Interquartile range (IQR)0.2243432392

Descriptive statistics

Standard deviation0.1682161237
Coefficient of variation (CV)0.3686539394
Kurtosis-0.05331260737
Mean0.4562981856
Median Absolute Deviation (MAD)0.1128452056
Skewness0.0538618868
Sum3903.630978
Variance0.02829666427
MonotocityNot monotonic
2021-01-09T22:19:07.856889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.579875566680.8%
 
0.3803266933650.8%
 
0.3243156401560.7%
 
0.4253245736550.6%
 
0.6106246935530.6%
 
0.6373062093510.6%
 
0.403314297500.6%
 
0.4393245021490.6%
 
0.49125518490.6%
 
0.4231455661480.6%
 
Other values (474)801193.6%
 
ValueCountFrequency (%) 
0150.2%
 
0.003943354015280.3%
 
0.02974093517150.2%
 
0.06778236601140.2%
 
0.076116533200.2%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.983292897780.1%
 
0.9621851515220.3%
 
0.9338363305160.2%
 
0.902628200880.1%
 

offense_fg%_defense
Real number (ℝ≥0)

Distinct441
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4564003754
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:07.979764image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2182074245
Q10.3455671253
median0.4456975089
Q30.5522530104
95-th percentile0.750848106
Maximum1
Range1
Interquartile range (IQR)0.206685885

Descriptive statistics

Standard deviation0.1612005299
Coefficient of variation (CV)0.3531998189
Kurtosis0.2375378495
Mean0.4564003754
Median Absolute Deviation (MAD)0.1052311808
Skewness0.3170785368
Sum3904.505211
Variance0.02598561085
MonotocityNot monotonic
2021-01-09T22:19:08.095001image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3896623558821.0%
 
0.3224926582760.9%
 
0.3848725809630.7%
 
0.3228191578620.7%
 
0.4013866568600.7%
 
0.569487348600.7%
 
0.5344859574570.7%
 
0.4865599033570.7%
 
0.5697455831570.7%
 
0.4167579199560.7%
 
Other values (431)792592.6%
 
ValueCountFrequency (%) 
0220.3%
 
0.029282550393< 0.1%
 
0.04039193808130.2%
 
0.061270417242< 0.1%
 
0.0679883926280.1%
 
ValueCountFrequency (%) 
1230.3%
 
0.9425203453220.3%
 
0.9206252564150.2%
 
0.911804505590.1%
 
0.899657503890.1%
 

offense_3p_defense
Real number (ℝ≥0)

Distinct435
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.391926337
Minimum0
Maximum1
Zeros14
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:08.210893image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1062625497
Q10.2636631305
median0.380608535
Q30.4934598165
95-th percentile0.7258384102
Maximum1
Range1
Interquartile range (IQR)0.229796686

Descriptive statistics

Standard deviation0.1842210159
Coefficient of variation (CV)0.4700398992
Kurtosis0.3029098741
Mean0.391926337
Median Absolute Deviation (MAD)0.1158867543
Skewness0.5279479234
Sum3352.929813
Variance0.03393738271
MonotocityNot monotonic
2021-01-09T22:19:08.327746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2705905811760.9%
 
0.2636631305760.9%
 
0.4112878403740.9%
 
0.5024887851690.8%
 
0.3936435241690.8%
 
0.1598976749570.7%
 
0.4585675297560.7%
 
0.4549589354560.7%
 
0.4452004188550.6%
 
0.2820206328550.6%
 
Other values (425)791292.5%
 
ValueCountFrequency (%) 
0140.2%
 
0.03698238475190.2%
 
0.04784990633210.2%
 
0.04885073133200.2%
 
0.051328970554< 0.1%
 
ValueCountFrequency (%) 
1100.1%
 
0.9892778165100.1%
 
0.9559133515250.3%
 
0.9535723733220.3%
 
0.9503187252100.1%
 

offense_3pa_defense
Real number (ℝ≥0)

Distinct533
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4090529424
Minimum0
Maximum1
Zeros14
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:08.445482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1470480903
Q10.2880972695
median0.4053759929
Q30.5022405501
95-th percentile0.7238629597
Maximum1
Range1
Interquartile range (IQR)0.2141432806

Descriptive statistics

Standard deviation0.1713922322
Coefficient of variation (CV)0.4189976761
Kurtosis0.2914051319
Mean0.4090529424
Median Absolute Deviation (MAD)0.1078751588
Skewness0.4727917827
Sum3499.447922
Variance0.02937529727
MonotocityNot monotonic
2021-01-09T22:19:08.560734image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3201499923560.7%
 
0.3597360447490.6%
 
0.4731341313490.6%
 
0.4665979693480.6%
 
0.4125783946430.5%
 
0.3895772871430.5%
 
0.3343641557430.5%
 
0.3701151285410.5%
 
0.387019657400.5%
 
0.1925163013400.5%
 
Other values (523)810394.7%
 
ValueCountFrequency (%) 
0140.2%
 
0.065978879684< 0.1%
 
0.07425770281160.2%
 
0.0750927639210.2%
 
0.08377901085130.2%
 
ValueCountFrequency (%) 
1100.1%
 
0.9862025497100.1%
 
0.9658954448100.1%
 
0.94684457561< 0.1%
 
0.9101496805250.3%
 

offense_3p%_defense
Real number (ℝ≥0)

Distinct464
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4475246134
Minimum0
Maximum1
Zeros5
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:08.675766image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2110453387
Q10.3435879535
median0.4371881352
Q30.5514713487
95-th percentile0.7056634352
Maximum1
Range1
Interquartile range (IQR)0.2078833952

Descriptive statistics

Standard deviation0.1585414963
Coefficient of variation (CV)0.3542631881
Kurtosis0.1772662301
Mean0.4475246134
Median Absolute Deviation (MAD)0.1054920183
Skewness0.1107844705
Sum3828.573067
Variance0.02513540605
MonotocityNot monotonic
2021-01-09T22:19:08.792510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5514713487931.1%
 
0.3064117604590.7%
 
0.4468044741590.7%
 
0.5706914916570.7%
 
0.6260689981540.6%
 
0.3347586297520.6%
 
0.5009857312520.6%
 
0.3938464612510.6%
 
0.5938471567510.6%
 
0.3726007069480.6%
 
Other values (454)797993.3%
 
ValueCountFrequency (%) 
050.1%
 
0.01674889069220.3%
 
0.01811971372170.2%
 
0.05370854593220.3%
 
0.053716763680.1%
 
ValueCountFrequency (%) 
190.1%
 
0.9242649279230.3%
 
0.9185384287230.3%
 
0.8594996927220.3%
 
0.858763490590.1%
 

offense_2p_defense
Real number (ℝ≥0)

Distinct469
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5418207186
Minimum0
Maximum1
Zeros10
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:08.909730image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2677011039
Q10.4384440246
median0.5434408333
Q30.650874992
95-th percentile0.8115153414
Maximum1
Range1
Interquartile range (IQR)0.2124309674

Descriptive statistics

Standard deviation0.1673818346
Coefficient of variation (CV)0.3089247583
Kurtosis0.2815938999
Mean0.5418207186
Median Absolute Deviation (MAD)0.1067445525
Skewness-0.2829895972
Sum4635.276248
Variance0.02801667854
MonotocityNot monotonic
2021-01-09T22:19:09.027810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6349894932961.1%
 
0.6367652487690.8%
 
0.5142451727670.8%
 
0.5233731932660.8%
 
0.4384440246610.7%
 
0.6889474261580.7%
 
0.650874992560.7%
 
0.6472961892540.6%
 
0.6240721553540.6%
 
0.4572693049510.6%
 
Other values (459)792392.6%
 
ValueCountFrequency (%) 
0100.1%
 
0.0049845521741< 0.1%
 
0.01341624964210.2%
 
0.04537264167210.2%
 
0.0457279119290.1%
 
ValueCountFrequency (%) 
170.1%
 
0.9824133698130.2%
 
0.9393412246150.2%
 
0.9237594002280.3%
 
0.92010494644< 0.1%
 

offense_2pa_defense
Real number (ℝ≥0)

Distinct515
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5663462533
Minimum0
Maximum1
Zeros10
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:09.159910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3072117104
Q10.4692335762
median0.5742149415
Q30.6691472758
95-th percentile0.8055206997
Maximum1
Range1
Interquartile range (IQR)0.1999136996

Descriptive statistics

Standard deviation0.1519073043
Coefficient of variation (CV)0.2682233765
Kurtosis0.6103655431
Mean0.5663462533
Median Absolute Deviation (MAD)0.1001016681
Skewness-0.4350468423
Sum4845.092197
Variance0.02307582911
MonotocityNot monotonic
2021-01-09T22:19:09.277713image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.7357640655550.6%
 
0.4025769715500.6%
 
0.5168174693480.6%
 
0.5160341775460.5%
 
0.5074157268450.5%
 
0.6339539547450.5%
 
0.6206049426440.5%
 
0.622104966420.5%
 
0.5509177074410.5%
 
0.6539293885400.5%
 
Other values (505)809994.7%
 
ValueCountFrequency (%) 
0100.1%
 
0.02363782712100.1%
 
0.05240013732210.2%
 
0.057502879911< 0.1%
 
0.08893324331210.2%
 
ValueCountFrequency (%) 
1260.3%
 
0.936111358780.1%
 
0.8983823343< 0.1%
 
0.8945709411130.2%
 
0.8733034305280.3%
 

offense_2p%_defense
Real number (ℝ≥0)

Distinct468
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4268042923
Minimum0
Maximum1
Zeros3
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:09.395877image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1736989077
Q10.3220332803
median0.4109988517
Q30.5290503057
95-th percentile0.7152751163
Maximum1
Range1
Interquartile range (IQR)0.2070170255

Descriptive statistics

Standard deviation0.1682042362
Coefficient of variation (CV)0.3941015572
Kurtosis0.2405655164
Mean0.4268042923
Median Absolute Deviation (MAD)0.1070035978
Skewness0.4263300111
Sum3651.310721
Variance0.02829266509
MonotocityNot monotonic
2021-01-09T22:19:09.513751image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4184261514851.0%
 
0.3416397878730.9%
 
0.3418494801620.7%
 
0.3913525861550.6%
 
0.2890499299550.6%
 
0.5087351572490.6%
 
0.3027935625490.6%
 
0.3733389368460.5%
 
0.3590990826460.5%
 
0.2047130629450.5%
 
Other values (458)799093.4%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.0361614509550.1%
 
0.03771980524170.2%
 
0.043721478582< 0.1%
 
0.0510624907180.1%
 
ValueCountFrequency (%) 
1230.3%
 
0.9584807628150.2%
 
0.9268222388220.3%
 
0.91143411590.1%
 
0.8958503527140.2%
 

offense_ft_defense
Real number (ℝ≥0)

Distinct458
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4545893149
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:09.631977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1779375066
Q10.3359123801
median0.434737035
Q30.5696424079
95-th percentile0.7584900749
Maximum1
Range1
Interquartile range (IQR)0.2337300279

Descriptive statistics

Standard deviation0.1779224675
Coefficient of variation (CV)0.3913916621
Kurtosis0.0802341913
Mean0.4545893149
Median Absolute Deviation (MAD)0.1096443072
Skewness0.329657
Sum3889.011589
Variance0.03165640445
MonotocityNot monotonic
2021-01-09T22:19:09.747076image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3656476466640.7%
 
0.3773540711600.7%
 
0.4152064242590.7%
 
0.4739729266570.7%
 
0.5253545688550.6%
 
0.3359123801540.6%
 
0.3891643407510.6%
 
0.6336873041490.6%
 
0.3675711499480.6%
 
0.728710674470.5%
 
Other values (448)801193.6%
 
ValueCountFrequency (%) 
0220.3%
 
0.01148979780.1%
 
0.02102168829250.3%
 
0.05656691439220.3%
 
0.06075628817260.3%
 
ValueCountFrequency (%) 
1200.2%
 
0.9903311778250.3%
 
0.971199518570.1%
 
0.969734628160.1%
 
0.9651375514120.1%
 

offense_fta_defense
Real number (ℝ≥0)

Distinct477
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.522853253
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:09.863122image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2507985272
Q10.415121695
median0.5076744149
Q30.6258119584
95-th percentile0.8110807124
Maximum1
Range1
Interquartile range (IQR)0.2106902634

Descriptive statistics

Standard deviation0.1660625367
Coefficient of variation (CV)0.3176083074
Kurtosis-0.1122945773
Mean0.522853253
Median Absolute Deviation (MAD)0.1091890567
Skewness0.2155205362
Sum4473.00958
Variance0.02757676611
MonotocityNot monotonic
2021-01-09T22:19:10.377574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.469805109680.8%
 
0.4991214748670.8%
 
0.5118680254640.7%
 
0.5343942368560.7%
 
0.5038064915550.6%
 
0.4188896068550.6%
 
0.5763897689550.6%
 
0.5377458786540.6%
 
0.4691725449520.6%
 
0.48407702510.6%
 
Other values (467)797893.3%
 
ValueCountFrequency (%) 
0220.3%
 
0.117076541660.1%
 
0.1683891792250.3%
 
0.1727484549210.2%
 
0.1841988237260.3%
 
ValueCountFrequency (%) 
1250.3%
 
0.984869978960.1%
 
0.9764588535100.1%
 
0.9733694509100.1%
 
0.947190853760.1%
 

offense_ft%_defense
Real number (ℝ≥0)

Distinct503
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5448772628
Minimum0
Maximum1
Zeros21
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:10.495879image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2161529297
Q10.4360568962
median0.5609805624
Q30.6637358318
95-th percentile0.8185906706
Maximum1
Range1
Interquartile range (IQR)0.2276789355

Descriptive statistics

Standard deviation0.1782027324
Coefficient of variation (CV)0.3270511445
Kurtosis0.07698943303
Mean0.5448772628
Median Absolute Deviation (MAD)0.112969706
Skewness-0.3555568065
Sum4661.424983
Variance0.03175621384
MonotocityNot monotonic
2021-01-09T22:19:10.612351image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5740544577750.9%
 
0.60574397570.7%
 
0.6108824244530.6%
 
0.3482167154520.6%
 
0.6148568101510.6%
 
0.6163921171490.6%
 
0.3787515931490.6%
 
0.4551634752490.6%
 
0.4991531783480.6%
 
0.5439018175450.5%
 
Other values (493)802793.8%
 
ValueCountFrequency (%) 
0210.2%
 
0.0177470865680.1%
 
0.0252739536140.2%
 
0.04191247478220.3%
 
0.06417228426210.2%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.971377117250.1%
 
0.9688287945200.2%
 
0.9386976201200.2%
 
0.931188276450.1%
 

offense_orb_defense
Real number (ℝ≥0)

Distinct425
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4716017395
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:10.728015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2234164632
Q10.3629078901
median0.4684646809
Q30.5787661808
95-th percentile0.7071263779
Maximum1
Range1
Interquartile range (IQR)0.2158582906

Descriptive statistics

Standard deviation0.1518523228
Coefficient of variation (CV)0.3219927115
Kurtosis-0.02743961864
Mean0.4716017395
Median Absolute Deviation (MAD)0.107461629
Skewness0.1308166239
Sum4034.552882
Variance0.02305912795
MonotocityNot monotonic
2021-01-09T22:19:10.843557image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4352893700.8%
 
0.4413231292670.8%
 
0.4396791464620.7%
 
0.5326258253610.7%
 
0.41934027590.7%
 
0.347140896580.7%
 
0.6940147662530.6%
 
0.6043492664530.6%
 
0.4684646809510.6%
 
0.3646680187500.6%
 
Other values (415)797193.2%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.049132868261< 0.1%
 
0.09313703827150.2%
 
0.09706417676260.3%
 
0.11481981841< 0.1%
 
ValueCountFrequency (%) 
180.1%
 
0.985768046470.1%
 
0.971271708580.1%
 
0.9480393422200.2%
 
0.907760416980.1%
 

offense_drb_defense
Real number (ℝ≥0)

Distinct443
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4419562951
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:10.960691image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1672310317
Q10.3160974162
median0.4219648353
Q30.5649350078
95-th percentile0.7354940411
Maximum1
Range1
Interquartile range (IQR)0.2488375916

Descriptive statistics

Standard deviation0.1768080474
Coefficient of variation (CV)0.4000577644
Kurtosis-0.4036092923
Mean0.4419562951
Median Absolute Deviation (MAD)0.1283469074
Skewness0.2665003382
Sum3780.936105
Variance0.03126108562
MonotocityNot monotonic
2021-01-09T22:19:11.075529image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.2912069067740.9%
 
0.4964640678710.8%
 
0.5034497094700.8%
 
0.2630134056670.8%
 
0.4048900798640.7%
 
0.3661840947590.7%
 
0.3364836415560.7%
 
0.5285365745540.6%
 
0.3613566455530.6%
 
0.3602824229530.6%
 
Other values (433)793492.7%
 
ValueCountFrequency (%) 
070.1%
 
0.050949337660.1%
 
0.06477425593< 0.1%
 
0.06737164717240.3%
 
0.06840953846140.2%
 
ValueCountFrequency (%) 
1160.2%
 
0.9448710456230.3%
 
0.8840339262230.3%
 
0.8614959316120.1%
 
0.8535049008210.2%
 

offense_trb_defense
Real number (ℝ≥0)

Distinct450
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4944400335
Minimum0
Maximum1
Zeros6
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:11.190904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2377356225
Q10.3803943802
median0.4919340501
Q30.6035700373
95-th percentile0.7779723863
Maximum1
Range1
Interquartile range (IQR)0.223175657

Descriptive statistics

Standard deviation0.1663022921
Coefficient of variation (CV)0.3363447148
Kurtosis-0.06519511938
Mean0.4944400335
Median Absolute Deviation (MAD)0.1116359872
Skewness0.08879796095
Sum4229.934487
Variance0.02765645235
MonotocityNot monotonic
2021-01-09T22:19:11.307695image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4551587437710.8%
 
0.2732237571650.8%
 
0.5554725249630.7%
 
0.2928607784620.7%
 
0.4041102761590.7%
 
0.5740004246580.7%
 
0.5118024695540.6%
 
0.4665186602540.6%
 
0.4490909358530.6%
 
0.5697701505510.6%
 
Other values (440)796593.1%
 
ValueCountFrequency (%) 
060.1%
 
0.0124960889140.2%
 
0.04035298485150.2%
 
0.08181535362230.3%
 
0.09092441719150.2%
 
ValueCountFrequency (%) 
1200.2%
 
0.970674982680.1%
 
0.960705506170.1%
 
0.93950308883< 0.1%
 
0.9200048554120.1%
 

offense_ast_defense
Real number (ℝ≥0)

Distinct457
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4172706529
Minimum0
Maximum1
Zeros13
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:11.423338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.174639428
Q10.2987995856
median0.3994438083
Q30.5220030546
95-th percentile0.7238395672
Maximum1
Range1
Interquartile range (IQR)0.223203469

Descriptive statistics

Standard deviation0.1691383109
Coefficient of variation (CV)0.4053443725
Kurtosis0.1905798141
Mean0.4172706529
Median Absolute Deviation (MAD)0.1103289542
Skewness0.5092977689
Sum3569.750436
Variance0.02860776823
MonotocityNot monotonic
2021-01-09T22:19:11.539848image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.585470419800.9%
 
0.3403385473570.7%
 
0.3901177953560.7%
 
0.5326287685550.6%
 
0.485099177520.6%
 
0.3390999475510.6%
 
0.5441388549490.6%
 
0.5076677942480.6%
 
0.4106932688480.6%
 
0.2400484659480.6%
 
Other values (447)801193.6%
 
ValueCountFrequency (%) 
0130.2%
 
0.000400627394790.1%
 
0.06113674211110.1%
 
0.06525445235190.2%
 
0.08638386685260.3%
 
ValueCountFrequency (%) 
190.1%
 
0.946156056280.3%
 
0.932196254990.1%
 
0.9255648691220.3%
 
0.914135211890.1%
 

offense_stl_defense
Real number (ℝ≥0)

Distinct387
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4042810099
Minimum0
Maximum1
Zeros24
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:11.655561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1649795817
Q10.2812849643
median0.4012339804
Q30.5190251044
95-th percentile0.6760293147
Maximum1
Range1
Interquartile range (IQR)0.2377401401

Descriptive statistics

Standard deviation0.1540964809
Coefficient of variation (CV)0.3811618085
Kurtosis-0.1566466701
Mean0.4042810099
Median Absolute Deviation (MAD)0.117791124
Skewness0.18805595
Sum3458.62404
Variance0.02374572542
MonotocityNot monotonic
2021-01-09T22:19:11.772051image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5339739941121.3%
 
0.4618095344831.0%
 
0.2636799358810.9%
 
0.3784341843730.9%
 
0.3826205211690.8%
 
0.3948793475620.7%
 
0.2562697261610.7%
 
0.4021692197590.7%
 
0.46273264590.7%
 
0.3066334063580.7%
 
Other values (377)783891.6%
 
ValueCountFrequency (%) 
0240.3%
 
0.046143690012< 0.1%
 
0.05274157619170.2%
 
0.05814380836190.2%
 
0.05886278913160.2%
 
ValueCountFrequency (%) 
12< 0.1%
 
0.891470165680.1%
 
0.8785223388200.2%
 
0.865044619590.1%
 
0.8317245974130.2%
 

offense_blk_defense
Real number (ℝ≥0)

Distinct373
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4788616175
Minimum0
Maximum1
Zeros5
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:11.887195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2792251775
Q10.3778290487
median0.4655545737
Q30.5633516309
95-th percentile0.7071691931
Maximum1
Range1
Interquartile range (IQR)0.1855225822

Descriptive statistics

Standard deviation0.1351932975
Coefficient of variation (CV)0.2823222672
Kurtosis0.2721669425
Mean0.4788616175
Median Absolute Deviation (MAD)0.09218133099
Skewness0.3248193802
Sum4096.661138
Variance0.01827722769
MonotocityNot monotonic
2021-01-09T22:19:12.007621image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.368946519961.1%
 
0.5319766602831.0%
 
0.4484982053760.9%
 
0.3382442451720.8%
 
0.4486996431710.8%
 
0.5322756648690.8%
 
0.4282221293670.8%
 
0.4353714639670.8%
 
0.4586746856660.8%
 
0.5102059514650.8%
 
Other values (363)782391.4%
 
ValueCountFrequency (%) 
050.1%
 
0.05989491235190.2%
 
0.104085083190.2%
 
0.1648518721150.2%
 
0.2046957104180.2%
 
ValueCountFrequency (%) 
1200.2%
 
0.944133307890.1%
 
0.882361726190.1%
 
0.8641249411200.2%
 
0.828039674560.1%
 

offense_tov_defense
Real number (ℝ≥0)

Distinct405
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5432758029
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:12.125592image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3283046055
Q10.4334638732
median0.5391404899
Q30.6377011595
95-th percentile0.8145276134
Maximum1
Range1
Interquartile range (IQR)0.2042372863

Descriptive statistics

Standard deviation0.1513872547
Coefficient of variation (CV)0.2786563544
Kurtosis0.3864290131
Mean0.5432758029
Median Absolute Deviation (MAD)0.1007890059
Skewness0.1143093515
Sum4647.724494
Variance0.02291810088
MonotocityNot monotonic
2021-01-09T22:19:12.242230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5335172013800.9%
 
0.351669702710.8%
 
0.5329053278620.7%
 
0.4230538416610.7%
 
0.6636119554590.7%
 
0.6106088442590.7%
 
0.6439792883570.7%
 
0.6521201107570.7%
 
0.6642108119550.6%
 
0.3724067214530.6%
 
Other values (395)794192.8%
 
ValueCountFrequency (%) 
0220.3%
 
0.04968125384190.2%
 
0.128291741470.1%
 
0.1312237670.1%
 
0.1559953813< 0.1%
 
ValueCountFrequency (%) 
1190.2%
 
0.9727373878160.2%
 
0.95892887523< 0.1%
 
0.9470413039220.3%
 
0.9217084358230.3%
 

offense_pf_defense
Real number (ℝ≥0)

Distinct453
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4633658142
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:12.357288image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1730697188
Q10.3396786398
median0.4606664454
Q30.58252744
95-th percentile0.760584388
Maximum1
Range1
Interquartile range (IQR)0.2428488002

Descriptive statistics

Standard deviation0.1790093848
Coefficient of variation (CV)0.3863241078
Kurtosis-0.2233746199
Mean0.4633658142
Median Absolute Deviation (MAD)0.1211254855
Skewness0.1761728938
Sum3964.094541
Variance0.03204435983
MonotocityNot monotonic
2021-01-09T22:19:12.473403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6544487031770.9%
 
0.4648340992700.8%
 
0.5206431534630.7%
 
0.6577330918600.7%
 
0.3240114634590.7%
 
0.2382309885550.6%
 
0.4909883327540.6%
 
0.4246740321500.6%
 
0.6585660198490.6%
 
0.4410403881480.6%
 
Other values (443)797093.2%
 
ValueCountFrequency (%) 
070.1%
 
0.0451141809490.1%
 
0.05297895901220.3%
 
0.0819553505260.3%
 
0.08391288683230.3%
 
ValueCountFrequency (%) 
1270.3%
 
0.9899959297230.3%
 
0.9289977063280.3%
 
0.919475267550.1%
 
0.8816195837140.2%
 

offense_pts_defense
Real number (ℝ≥0)

Distinct533
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5027482779
Minimum0
Maximum1
Zeros3
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:12.586578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2822096642
Q10.3911027339
median0.4984481288
Q30.6027774974
95-th percentile0.7653130796
Maximum1
Range1
Interquartile range (IQR)0.2116747635

Descriptive statistics

Standard deviation0.1508969557
Coefficient of variation (CV)0.3001441524
Kurtosis-0.01153548097
Mean0.5027482779
Median Absolute Deviation (MAD)0.105683951
Skewness0.3060896783
Sum4301.011518
Variance0.02276989125
MonotocityNot monotonic
2021-01-09T22:19:12.702080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3087716048550.6%
 
0.516950214540.6%
 
0.4921953353530.6%
 
0.3949675941510.6%
 
0.4429703587500.6%
 
0.361905166480.6%
 
0.6428680186470.5%
 
0.3897748592460.5%
 
0.7173798208450.5%
 
0.4401410463450.5%
 
Other values (523)806194.2%
 
ValueCountFrequency (%) 
03< 0.1%
 
0.108385092450.1%
 
0.13909090722< 0.1%
 
0.1584869529130.2%
 
0.1833899508230.3%
 
ValueCountFrequency (%) 
190.1%
 
0.966356353220.3%
 
0.93863226220.3%
 
0.9343874216220.3%
 
0.9265424054< 0.1%
 

defense_fg_defense
Real number (ℝ≥0)

Distinct464
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4630664697
Minimum0
Maximum1
Zeros14
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:12.817215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1741998701
Q10.3256830068
median0.4650371201
Q30.5929337147
95-th percentile0.7549360679
Maximum1
Range1
Interquartile range (IQR)0.2672507079

Descriptive statistics

Standard deviation0.1797118246
Coefficient of variation (CV)0.388090774
Kurtosis-0.5769085187
Mean0.4630664697
Median Absolute Deviation (MAD)0.134439552
Skewness0.03997832746
Sum3961.533649
Variance0.03229633991
MonotocityNot monotonic
2021-01-09T22:19:12.933746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.483431487650.8%
 
0.4709088589630.7%
 
0.5877502034570.7%
 
0.5345490177540.6%
 
0.4402229164530.6%
 
0.5849739422520.6%
 
0.313321906510.6%
 
0.4431616632500.6%
 
0.7148761567490.6%
 
0.455374959480.6%
 
Other values (454)801393.7%
 
ValueCountFrequency (%) 
0140.2%
 
0.0124594041170.2%
 
0.03842905591140.2%
 
0.03922888704140.2%
 
0.047241577611< 0.1%
 
ValueCountFrequency (%) 
1170.2%
 
0.9327082146130.2%
 
0.879028900370.1%
 
0.8781285191220.3%
 
0.8613309137250.3%
 

defense_fga_defense
Real number (ℝ≥0)

Distinct510
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4671657006
Minimum0
Maximum1
Zeros27
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:13.049644image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2033352844
Q10.3591918439
median0.4634316535
Q30.5713595974
95-th percentile0.7402364
Maximum1
Range1
Interquartile range (IQR)0.2121677535

Descriptive statistics

Standard deviation0.1624655747
Coefficient of variation (CV)0.3477686278
Kurtosis0.1649722132
Mean0.4671657006
Median Absolute Deviation (MAD)0.1072544529
Skewness0.1271006139
Sum3996.602569
Variance0.02639506295
MonotocityNot monotonic
2021-01-09T22:19:13.163808image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5056026357720.8%
 
0.496251273660.8%
 
0.4310662235550.6%
 
0.4199715782520.6%
 
0.473742757490.6%
 
0.2304833557480.6%
 
0.5926015442480.6%
 
0.5177480237470.5%
 
0.4959002217460.5%
 
0.6912222102450.5%
 
Other values (500)802793.8%
 
ValueCountFrequency (%) 
0270.3%
 
0.07221435777140.2%
 
0.08459928795140.2%
 
0.0945219749870.1%
 
0.09820755166140.2%
 
ValueCountFrequency (%) 
1220.3%
 
0.9683848088220.3%
 
0.876378069480.1%
 
0.8690880438220.3%
 
0.8602377683280.3%
 

defense_fg%_defense
Real number (ℝ≥0)

Distinct442
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4833430412
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:13.279761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2167915774
Q10.3638244618
median0.4901557127
Q30.6016818164
95-th percentile0.7441266351
Maximum1
Range1
Interquartile range (IQR)0.2378573546

Descriptive statistics

Standard deviation0.1607466375
Coefficient of variation (CV)0.3325725702
Kurtosis-0.393305556
Mean0.4833430412
Median Absolute Deviation (MAD)0.119517093
Skewness-0.06989950005
Sum4134.999717
Variance0.02583948147
MonotocityNot monotonic
2021-01-09T22:19:13.395740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.52206745361041.2%
 
0.6132658438790.9%
 
0.5343044792740.9%
 
0.4771371207720.8%
 
0.2558024367680.8%
 
0.5314519811650.8%
 
0.5708596569580.7%
 
0.4032935749560.7%
 
0.298015872550.6%
 
0.602033096540.6%
 
Other values (432)787092.0%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.03668852172110.1%
 
0.06316038215220.3%
 
0.09667573087110.1%
 
0.101318047690.1%
 
ValueCountFrequency (%) 
1170.2%
 
0.923476419450.1%
 
0.8730711518130.2%
 
0.8543540703270.3%
 
0.8287999985130.2%
 

defense_3p_defense
Real number (ℝ≥0)

Distinct354
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4775379865
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:13.512315image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1960717868
Q10.385891895
median0.496048818
Q30.5806411887
95-th percentile0.7220912259
Maximum1
Range1
Interquartile range (IQR)0.1947492937

Descriptive statistics

Standard deviation0.1552295468
Coefficient of variation (CV)0.3250621966
Kurtosis0.1029534999
Mean0.4775379865
Median Absolute Deviation (MAD)0.09664579189
Skewness-0.2687108917
Sum4085.337475
Variance0.02409621221
MonotocityNot monotonic
2021-01-09T22:19:13.630506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.459709438941.1%
 
0.5270216801911.1%
 
0.5395466913901.1%
 
0.5070321025851.0%
 
0.4700212272790.9%
 
0.5562944992760.9%
 
0.496048818740.9%
 
0.4648999566710.8%
 
0.4458621421700.8%
 
0.4466631653680.8%
 
Other values (344)775790.7%
 
ValueCountFrequency (%) 
0250.3%
 
0.0244996904960.1%
 
0.04332856722250.3%
 
0.0793746831260.3%
 
0.082819021113< 0.1%
 
ValueCountFrequency (%) 
1140.2%
 
0.974525424860.1%
 
0.8450535042210.2%
 
0.83987875724< 0.1%
 
0.83753663674< 0.1%
 

defense_3pa_defense
Real number (ℝ≥0)

Distinct452
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5322195487
Minimum0
Maximum1
Zeros25
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:13.749760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2251951385
Q10.4285274322
median0.5481108056
Q30.6412536938
95-th percentile0.7889662233
Maximum1
Range1
Interquartile range (IQR)0.2127262616

Descriptive statistics

Standard deviation0.16488415
Coefficient of variation (CV)0.3098047608
Kurtosis0.02633262385
Mean0.5322195487
Median Absolute Deviation (MAD)0.1058419601
Skewness-0.3348906952
Sum4553.138239
Variance0.02718678292
MonotocityNot monotonic
2021-01-09T22:19:13.864387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.572749685780.9%
 
0.6072448629620.7%
 
0.5528940722610.7%
 
0.5936682482580.7%
 
0.5388958086530.6%
 
0.2494096435500.6%
 
0.5141138609500.6%
 
0.1952446361500.6%
 
0.5784404468490.6%
 
0.3531843578490.6%
 
Other values (442)799593.5%
 
ValueCountFrequency (%) 
0250.3%
 
0.03417681568250.3%
 
0.0720471551160.1%
 
0.077791617173< 0.1%
 
0.1333394447260.3%
 
ValueCountFrequency (%) 
160.1%
 
0.98630847341< 0.1%
 
0.9455155991240.3%
 
0.926178086140.2%
 
0.90465172371< 0.1%
 

defense_3p%_defense
Real number (ℝ≥0)

Distinct444
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4968431149
Minimum0
Maximum1
Zeros1
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:13.980793image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2436526774
Q10.3911561731
median0.4924101777
Q30.5958889164
95-th percentile0.7459647395
Maximum1
Range1
Interquartile range (IQR)0.2047327433

Descriptive statistics

Standard deviation0.1562526086
Coefficient of variation (CV)0.3144908401
Kurtosis-0.01325198605
Mean0.4968431149
Median Absolute Deviation (MAD)0.1019112219
Skewness0.1118872567
Sum4250.492848
Variance0.02441487771
MonotocityNot monotonic
2021-01-09T22:19:14.096884image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5745382678730.9%
 
0.4761235244660.8%
 
0.346332898650.8%
 
0.6992067994600.7%
 
0.6285178224600.7%
 
0.4564659265600.7%
 
0.3286702667580.7%
 
0.4048368153560.7%
 
0.6615645312550.6%
 
0.5689418065540.6%
 
Other values (434)794892.9%
 
ValueCountFrequency (%) 
01< 0.1%
 
0.0672460377190.1%
 
0.0778769330270.1%
 
0.0852469858660.1%
 
0.085631118131< 0.1%
 
ValueCountFrequency (%) 
14< 0.1%
 
0.9597783857220.3%
 
0.9568593407280.3%
 
0.92047179434< 0.1%
 
0.8950098114190.2%
 

defense_2p_defense
Real number (ℝ≥0)

Distinct463
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5233441991
Minimum0
Maximum1
Zeros17
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:14.213554image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2316915759
Q10.3985075557
median0.5223240557
Q30.6607542614
95-th percentile0.81786998
Maximum1
Range1
Interquartile range (IQR)0.2622467057

Descriptive statistics

Standard deviation0.1834399677
Coefficient of variation (CV)0.3505149538
Kurtosis-0.3868046384
Mean0.5233441991
Median Absolute Deviation (MAD)0.1299904226
Skewness-0.04295576241
Sum4477.209623
Variance0.03365022177
MonotocityNot monotonic
2021-01-09T22:19:14.330062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6098412558810.9%
 
0.333363372700.8%
 
0.4939357945680.8%
 
0.604210685640.7%
 
0.7664954602620.7%
 
0.5692325898600.7%
 
0.576777295580.7%
 
0.5134978818580.7%
 
0.7026218229550.6%
 
0.2378497126550.6%
 
Other values (453)792492.6%
 
ValueCountFrequency (%) 
0170.2%
 
0.00789615338140.2%
 
0.02648761316140.2%
 
0.05470448856140.2%
 
0.096477995981< 0.1%
 
ValueCountFrequency (%) 
12< 0.1%
 
0.995074896220.3%
 
0.9457783292130.2%
 
0.9411761059220.3%
 
0.936006010570.1%
 

defense_2pa_defense
Real number (ℝ≥0)

Distinct514
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4755651243
Minimum0
Maximum1
Zeros27
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:14.446084image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1951196908
Q10.3749475487
median0.4747302544
Q30.5933446396
95-th percentile0.7508817084
Maximum1
Range1
Interquartile range (IQR)0.2183970908

Descriptive statistics

Standard deviation0.1680711413
Coefficient of variation (CV)0.3534135131
Kurtosis0.1471595425
Mean0.4755651243
Median Absolute Deviation (MAD)0.1095593917
Skewness0.03501272208
Sum4068.459638
Variance0.02824790853
MonotocityNot monotonic
2021-01-09T22:19:14.563059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5161953243590.7%
 
0.4382730033560.7%
 
0.379619398490.6%
 
0.6254773353490.6%
 
0.4653316437480.6%
 
0.6684033565480.6%
 
0.529026754480.6%
 
0.4624407113470.5%
 
0.6108320165470.5%
 
0.6859441734460.5%
 
Other values (504)805894.2%
 
ValueCountFrequency (%) 
0270.3%
 
0.001996017045140.2%
 
0.0588100981140.2%
 
0.0626944039270.1%
 
0.07449125885260.3%
 
ValueCountFrequency (%) 
1220.3%
 
0.9781802305220.3%
 
0.924040998220.3%
 
0.90367260172< 0.1%
 
0.8881066315240.3%
 

defense_2p%_defense
Real number (ℝ≥0)

Distinct464
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4767582514
Minimum0
Maximum1
Zeros11
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:14.678660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.176506391
Q10.3445321191
median0.4846106463
Q30.6072136435
95-th percentile0.752156245
Maximum1
Range1
Interquartile range (IQR)0.2626815244

Descriptive statistics

Standard deviation0.1772362603
Coefficient of variation (CV)0.3717528952
Kurtosis-0.5302271525
Mean0.4767582514
Median Absolute Deviation (MAD)0.1287846347
Skewness-0.1188687735
Sum4078.666841
Variance0.03141269196
MonotocityNot monotonic
2021-01-09T22:19:14.799667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6610830573680.8%
 
0.6042916457640.7%
 
0.4814219828620.7%
 
0.627159496570.7%
 
0.3063058331560.7%
 
0.51979551560.7%
 
0.3187733921510.6%
 
0.6037368255500.6%
 
0.2676171601500.6%
 
0.5115748495490.6%
 
Other values (454)799293.4%
 
ValueCountFrequency (%) 
0110.1%
 
0.05087719211160.2%
 
0.05974395846110.1%
 
0.0608503089690.1%
 
0.0611038445990.1%
 
ValueCountFrequency (%) 
1170.2%
 
0.9156031437130.2%
 
0.895780592150.1%
 
0.875345064970.1%
 
0.8654064325270.3%
 

defense_ft_defense
Real number (ℝ≥0)

Distinct475
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4616018653
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:14.920030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.163047443
Q10.3170809332
median0.4548628955
Q30.5849143543
95-th percentile0.8003104847
Maximum1
Range1
Interquartile range (IQR)0.2678334211

Descriptive statistics

Standard deviation0.1891333327
Coefficient of variation (CV)0.4097326005
Kurtosis-0.2463373671
Mean0.4616018653
Median Absolute Deviation (MAD)0.1328733966
Skewness0.2672565547
Sum3949.003958
Variance0.03577141753
MonotocityNot monotonic
2021-01-09T22:19:15.571683image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4469785635740.9%
 
0.6735614164670.8%
 
0.4740271571580.7%
 
0.2743145706540.6%
 
0.3880321469510.6%
 
0.5533046257510.6%
 
0.389026475500.6%
 
0.2980474077500.6%
 
0.2143653833490.6%
 
0.4680945019480.6%
 
Other values (465)800393.5%
 
ValueCountFrequency (%) 
070.1%
 
0.05342731391120.1%
 
0.06549580585250.3%
 
0.072717109482< 0.1%
 
0.07948211497260.3%
 
ValueCountFrequency (%) 
1270.3%
 
0.9690293775280.3%
 
0.9581760045230.3%
 
0.9343491919140.2%
 
0.9131734555270.3%
 

defense_fta_defense
Real number (ℝ≥0)

Distinct478
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4822943579
Minimum0
Maximum1
Zeros7
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:15.692215image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1850925955
Q10.3462441629
median0.480733232
Q30.6109924443
95-th percentile0.8227676217
Maximum1
Range1
Interquartile range (IQR)0.2647482813

Descriptive statistics

Standard deviation0.1948288188
Coefficient of variation (CV)0.4039624675
Kurtosis-0.2870107383
Mean0.4822943579
Median Absolute Deviation (MAD)0.1329818782
Skewness0.2160438746
Sum4126.028232
Variance0.03795826865
MonotocityNot monotonic
2021-01-09T22:19:15.812389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5699338127730.9%
 
0.370760585630.7%
 
0.4651187958550.6%
 
0.6347314408530.6%
 
0.3556146658530.6%
 
0.3566820111520.6%
 
0.3362309637510.6%
 
0.4698143724490.6%
 
0.5485940356470.5%
 
0.2877362386460.5%
 
Other values (468)801393.7%
 
ValueCountFrequency (%) 
070.1%
 
0.05132515948220.3%
 
0.05191768072120.1%
 
0.07607454273280.3%
 
0.07848310991180.2%
 
ValueCountFrequency (%) 
1280.3%
 
0.9960229191270.3%
 
0.9683057788140.2%
 
0.9663698299180.2%
 
0.9650104164230.3%
 

defense_ft%_defense
Real number (ℝ≥0)

Distinct421
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5090355476
Minimum0
Maximum1
Zeros16
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:15.933531image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2302836272
Q10.3991322397
median0.5038788882
Q30.6355169067
95-th percentile0.787061113
Maximum1
Range1
Interquartile range (IQR)0.236384667

Descriptive statistics

Standard deviation0.1690691893
Coefficient of variation (CV)0.3321363117
Kurtosis-0.08258693888
Mean0.5090355476
Median Absolute Deviation (MAD)0.1160720993
Skewness-0.03870552354
Sum4354.79911
Variance0.02858439077
MonotocityNot monotonic
2021-01-09T22:19:16.048561image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.6391011338770.9%
 
0.4029213271760.9%
 
0.5539683064700.8%
 
0.318614599690.8%
 
0.73322591670.8%
 
0.5154596024650.8%
 
0.4151301659640.7%
 
0.4842299148610.7%
 
0.657903943610.7%
 
0.5928104679590.7%
 
Other values (411)788692.2%
 
ValueCountFrequency (%) 
0160.2%
 
0.03176735924210.2%
 
0.03523038554< 0.1%
 
0.03554495914330.4%
 
0.09388327607140.2%
 
ValueCountFrequency (%) 
13< 0.1%
 
0.942672956270.3%
 
0.9150527468240.3%
 
0.9102815213240.3%
 
0.896704370890.1%
 

defense_orb_defense
Real number (ℝ≥0)

Distinct377
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4493258247
Minimum0
Maximum1
Zeros4
Zeros (%)< 0.1%
Memory size66.8 KiB
2021-01-09T22:19:16.164195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1930420558
Q10.3289236076
median0.4377081059
Q30.5717448645
95-th percentile0.7263106615
Maximum1
Range1
Interquartile range (IQR)0.2428212569

Descriptive statistics

Standard deviation0.1711205396
Coefficient of variation (CV)0.3808384254
Kurtosis-0.2817805329
Mean0.4493258247
Median Absolute Deviation (MAD)0.1198760952
Skewness0.2724059307
Sum3843.98243
Variance0.02928223906
MonotocityNot monotonic
2021-01-09T22:19:16.280996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.40870676211071.3%
 
0.4781563792800.9%
 
0.5412051961760.9%
 
0.4488624054760.9%
 
0.4802656862750.9%
 
0.3673885691690.8%
 
0.6701401957690.8%
 
0.3478764213630.7%
 
0.2985154335590.7%
 
0.3865459816560.7%
 
Other values (367)782591.5%
 
ValueCountFrequency (%) 
04< 0.1%
 
0.0116069324180.1%
 
0.1118891999170.2%
 
0.1182562535180.2%
 
0.118693324190.2%
 
ValueCountFrequency (%) 
180.1%
 
0.9757638613220.3%
 
0.958207568150.1%
 
0.9325143996130.2%
 
0.92671094580.1%
 

defense_drb_defense
Real number (ℝ≥0)

Distinct444
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5099944583
Minimum0
Maximum1
Zeros27
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:16.398238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2384556763
Q10.4005347596
median0.5110862075
Q30.6097600143
95-th percentile0.7941455368
Maximum1
Range1
Interquartile range (IQR)0.2092252548

Descriptive statistics

Standard deviation0.1693593487
Coefficient of variation (CV)0.3320807628
Kurtosis0.02814134485
Mean0.5099944583
Median Absolute Deviation (MAD)0.1055756669
Skewness-0.01073630607
Sum4363.002591
Variance0.028682589
MonotocityNot monotonic
2021-01-09T22:19:16.516430image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.5736013887740.9%
 
0.4307260915730.9%
 
0.6005262938650.8%
 
0.3186462667630.7%
 
0.496856162600.7%
 
0.6042287275570.7%
 
0.5700962854530.6%
 
0.5383139162520.6%
 
0.7058346237510.6%
 
0.5715960526500.6%
 
Other values (434)795793.0%
 
ValueCountFrequency (%) 
0270.3%
 
0.04774747286270.3%
 
0.09086499081260.3%
 
0.09666115475200.2%
 
0.1431689059270.3%
 
ValueCountFrequency (%) 
1130.2%
 
0.99715872851< 0.1%
 
0.970750343180.2%
 
0.942023867190.2%
 
0.938020383380.1%
 

defense_trb_defense
Real number (ℝ≥0)

Distinct478
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4638570708
Minimum0
Maximum1
Zeros27
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:16.633563image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2059556155
Q10.3585629015
median0.4572432453
Q30.5613404298
95-th percentile0.7353810284
Maximum1
Range1
Interquartile range (IQR)0.2027775283

Descriptive statistics

Standard deviation0.1578625197
Coefficient of variation (CV)0.3403257805
Kurtosis0.1127209125
Mean0.4638570708
Median Absolute Deviation (MAD)0.09991834368
Skewness0.1499476515
Sum3968.297241
Variance0.02492057511
MonotocityNot monotonic
2021-01-09T22:19:16.750599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3688013413780.9%
 
0.4572432453590.7%
 
0.5173416442580.7%
 
0.4318299633550.6%
 
0.3883006252540.6%
 
0.460002565510.6%
 
0.5178844059500.6%
 
0.4092911811480.6%
 
0.5189001143470.5%
 
0.4727412691470.5%
 
Other values (468)800893.6%
 
ValueCountFrequency (%) 
0270.3%
 
0.07222139377260.3%
 
0.08010906791280.3%
 
0.1248926014270.3%
 
0.1325147995240.3%
 
ValueCountFrequency (%) 
1130.2%
 
0.917996922580.1%
 
0.905832812780.1%
 
0.9001459209220.3%
 
0.8846392917180.2%
 

defense_ast_defense
Real number (ℝ≥0)

Distinct454
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5273611295
Minimum0
Maximum1
Zeros28
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:16.867173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2188292408
Q10.3811467296
median0.5389978236
Q30.6497512539
95-th percentile0.8338030849
Maximum1
Range1
Interquartile range (IQR)0.2686045243

Descriptive statistics

Standard deviation0.1852765948
Coefficient of variation (CV)0.3513277419
Kurtosis-0.3003361337
Mean0.5273611295
Median Absolute Deviation (MAD)0.1344095055
Skewness-0.08899671765
Sum4511.574463
Variance0.03432741658
MonotocityNot monotonic
2021-01-09T22:19:16.982715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.60697872680.8%
 
0.6481239873640.7%
 
0.5843180091630.7%
 
0.3720334973580.7%
 
0.3470424081560.7%
 
0.4739738933540.6%
 
0.4833233396540.6%
 
0.3780276705530.6%
 
0.5594518015510.6%
 
0.6845494114510.6%
 
Other values (444)798393.3%
 
ValueCountFrequency (%) 
0280.3%
 
0.02124214202250.3%
 
0.06823817516130.2%
 
0.08673338529280.3%
 
0.122236002250.3%
 
ValueCountFrequency (%) 
1160.2%
 
0.9655176957220.3%
 
0.955358925290.3%
 
0.938264805360.1%
 
0.93452781130.2%
 

defense_stl_defense
Real number (ℝ≥0)

Distinct332
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4534525806
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:17.097268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1779437567
Q10.3564909324
median0.4473100863
Q30.5513860078
95-th percentile0.7118672558
Maximum1
Range1
Interquartile range (IQR)0.1948950754

Descriptive statistics

Standard deviation0.1558101223
Coefficient of variation (CV)0.3436084146
Kurtosis0.1503932028
Mean0.4534525806
Median Absolute Deviation (MAD)0.1001058764
Skewness0.07157682821
Sum3879.286827
Variance0.02427679422
MonotocityNot monotonic
2021-01-09T22:19:17.212419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4760932232750.9%
 
0.4319839224730.9%
 
0.5149365771720.8%
 
0.4258419081710.8%
 
0.4026916726710.8%
 
0.4143691214690.8%
 
0.6201605183680.8%
 
0.3051364929650.8%
 
0.4802233257650.8%
 
0.4922273192640.7%
 
Other values (322)786291.9%
 
ValueCountFrequency (%) 
0220.3%
 
0.02566553748110.1%
 
0.04475173904190.2%
 
0.083460677694< 0.1%
 
0.1078263205250.3%
 
ValueCountFrequency (%) 
1160.2%
 
0.9525742033< 0.1%
 
0.8907508693130.2%
 
0.8759705774280.3%
 
0.8635960614130.2%
 

defense_blk_defense
Real number (ℝ≥0)

Distinct353
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5271862944
Minimum0
Maximum1
Zeros14
Zeros (%)0.2%
Memory size66.8 KiB
2021-01-09T22:19:17.327303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2301437643
Q10.3972460117
median0.5243591604
Q30.6618161685
95-th percentile0.8391787514
Maximum1
Range1
Interquartile range (IQR)0.2645701568

Descriptive statistics

Standard deviation0.183447083
Coefficient of variation (CV)0.3479739229
Kurtosis-0.2710461756
Mean0.5271862944
Median Absolute Deviation (MAD)0.1316712363
Skewness0.0266339595
Sum4510.078748
Variance0.03365283225
MonotocityNot monotonic
2021-01-09T22:19:17.443054image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4961710317901.1%
 
0.5859296402901.1%
 
0.6071932424891.0%
 
0.6087427727871.0%
 
0.4280602324760.9%
 
0.5376506804720.8%
 
0.5872733675720.8%
 
0.4755765867720.8%
 
0.535329014720.8%
 
0.3893192329690.8%
 
Other values (343)776690.8%
 
ValueCountFrequency (%) 
0140.2%
 
0.04711146614120.1%
 
0.05177020327120.1%
 
0.0748808729120.1%
 
0.08531599651140.2%
 
ValueCountFrequency (%) 
190.1%
 
0.990146921160.1%
 
0.9824001191230.3%
 
0.9789787824220.3%
 
0.978279442360.1%
 

defense_tov_defense
Real number (ℝ≥0)

Distinct429
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4499044205
Minimum0
Maximum1
Zeros12
Zeros (%)0.1%
Memory size66.8 KiB
2021-01-09T22:19:17.560091image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2019491061
Q10.3351588079
median0.4413272023
Q30.5628366181
95-th percentile0.7314863819
Maximum1
Range1
Interquartile range (IQR)0.2276778103

Descriptive statistics

Standard deviation0.1633749351
Coefficient of variation (CV)0.3631325404
Kurtosis-0.211562089
Mean0.4499044205
Median Absolute Deviation (MAD)0.1105536375
Skewness0.1655607827
Sum3848.932317
Variance0.02669136943
MonotocityNot monotonic
2021-01-09T22:19:17.676960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4585768089961.1%
 
0.430910744740.9%
 
0.4787676825680.8%
 
0.4175954224680.8%
 
0.4780083666590.7%
 
0.3932972085580.7%
 
0.5847974376570.7%
 
0.4451602569560.7%
 
0.4345317037560.7%
 
0.3452778316560.7%
 
Other values (419)790792.4%
 
ValueCountFrequency (%) 
0120.1%
 
0.05330749228240.3%
 
0.058878151432< 0.1%
 
0.0725970829190.1%
 
0.07431068464190.2%
 
ValueCountFrequency (%) 
12< 0.1%
 
0.997984129880.1%
 
0.984933596280.1%
 
0.8627684587130.2%
 
0.840489173580.1%
 

defense_pf_defense
Real number (ℝ≥0)

Distinct430
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4408710023
Minimum0
Maximum1
Zeros22
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:17.806338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1245696093
Q10.314358834
median0.4282958825
Q30.5609485714
95-th percentile0.7656492416
Maximum1
Range1
Interquartile range (IQR)0.2465897374

Descriptive statistics

Standard deviation0.1849830521
Coefficient of variation (CV)0.4195854369
Kurtosis-0.1614275783
Mean0.4408710023
Median Absolute Deviation (MAD)0.1233211384
Skewness0.2028279308
Sum3771.651425
Variance0.03421872957
MonotocityNot monotonic
2021-01-09T22:19:17.944354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.4234534156790.9%
 
0.6998658526720.8%
 
0.3519793959710.8%
 
0.3293184448660.8%
 
0.5246114751640.7%
 
0.4554095883640.7%
 
0.4050870006630.7%
 
0.2375248743600.7%
 
0.3495170082570.7%
 
0.4406533166530.6%
 
Other values (420)790692.4%
 
ValueCountFrequency (%) 
0220.3%
 
0.003943988407160.2%
 
0.009861458106220.3%
 
0.0279667120980.1%
 
0.03641166165210.2%
 
ValueCountFrequency (%) 
1250.3%
 
0.9414916828270.3%
 
0.935215896470.1%
 
0.896807266360.1%
 
0.8931342509100.1%
 

defense_pts_defense
Real number (ℝ≥0)

Distinct526
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.499385191
Minimum0
Maximum1
Zeros26
Zeros (%)0.3%
Memory size66.8 KiB
2021-01-09T22:19:18.073780image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.153312154
Q10.3605107275
median0.5110405133
Q30.6348894454
95-th percentile0.7913087984
Maximum1
Range1
Interquartile range (IQR)0.2743787179

Descriptive statistics

Standard deviation0.1881253102
Coefficient of variation (CV)0.3767138345
Kurtosis-0.4682354649
Mean0.499385191
Median Absolute Deviation (MAD)0.1367205191
Skewness-0.1537128109
Sum4272.240309
Variance0.03539113234
MonotocityNot monotonic
2021-01-09T22:19:18.196739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0.3605107275600.7%
 
0.7003289941540.6%
 
0.1241291506540.6%
 
0.3705094847500.6%
 
0.6728662209480.6%
 
0.4247370368480.6%
 
0.7276454209460.5%
 
0.3598000597450.5%
 
0.4977036687450.5%
 
0.5523889438420.5%
 
Other values (516)806394.2%
 
ValueCountFrequency (%) 
0260.3%
 
0.03338257843140.2%
 
0.06169531474170.2%
 
0.072826142594< 0.1%
 
0.07877328051280.3%
 
ValueCountFrequency (%) 
180.1%
 
0.942343571380.1%
 
0.939918377280.1%
 
0.925440508570.1%
 
0.9120716734170.2%